diff --git a/.claude-plugin/marketplace.json b/.claude-plugin/marketplace.json
index c991fda..81d042b 100644
--- a/.claude-plugin/marketplace.json
+++ b/.claude-plugin/marketplace.json
@@ -11,7 +11,7 @@
       "name": "data-engineering-knowledge-capture",
       "source": "./",
       "description": "Capture data-platform knowledge \u2014 schemas, lineage, medallion, semantic layer, business glossary \u2014 into OKF. Extends PKC; depends on OKF.",
-      "version": "0.4.3",
+      "version": "0.5.0",
       "author": {
         "name": "Rick Hightower"
       },
diff --git a/.claude-plugin/plugin.json b/.claude-plugin/plugin.json
index f88d46d..93c8d87 100644
--- a/.claude-plugin/plugin.json
+++ b/.claude-plugin/plugin.json
@@ -1,6 +1,6 @@
 {
   "name": "data-engineering-knowledge-capture",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "description": "Data Engineering Knowledge Capture (DEKC) \u2014 extends PKC + OKF for schemas, lineage, medallion layers, SQL/DAX, semantic models, business objects, and an indexed second brain. Agents walk data lakes. Works in Claude Code, Grok Build, Codex, and OpenCode.",
   "author": {
     "name": "Rick Hightower",
diff --git a/.codex-plugin/plugin.json b/.codex-plugin/plugin.json
index 177d430..db5eae0 100644
--- a/.codex-plugin/plugin.json
+++ b/.codex-plugin/plugin.json
@@ -1,6 +1,6 @@
 {
   "name": "data-engineering-knowledge-capture",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "description": "Data Engineering Knowledge Capture (DEKC) \u2014 schemas, lineage, medallion layers, semantic models, business glossary. Extends PKC; depends on OKF. Codex-native skills + hooks port.",
   "author": {
     "name": "Rick Hightower",
diff --git a/.cursor-plugin/plugin.json b/.cursor-plugin/plugin.json
index d33aafe..619989f 100644
--- a/.cursor-plugin/plugin.json
+++ b/.cursor-plugin/plugin.json
@@ -1,6 +1,6 @@
 {
   "name": "data-engineering-knowledge-capture",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "description": "Data Engineering Knowledge Capture: schemas, lineage, medallion, semantic models, and glossary into a durable OKF knowledge graph. Multi-host bindings and write isolation.",
   "author": {
     "name": "Rick Hightower"
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index d407dae..a7aaf82 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -17,23 +17,12 @@ jobs:
           python-version: "3.12"
 
       - name: Unit tests
-        run: python3 tests/test_dekc.py && python3 tests/test_isolation.py
+        run: python3 tests/test_dekc.py && python3 tests/test_retrieval_ladder.py && python3 tests/test_isolation.py
 
+      # Glob, not a list. The hand-maintained list drifted whenever a new
+      # dekc_*.py landed. PKC 0.9.0 made the same change.
       - name: Compile scripts
-        run: |
-          python3 -m py_compile \
-            scripts/dekc_common.py \
-            scripts/dekc_capture.py \
-            scripts/dekc_walk.py \
-            scripts/dekc_lineage.py \
-            scripts/dekc_business.py \
-            scripts/dekc_index.py \
-            scripts/dekc_validate.py \
-            scripts/dekc_pack.py \
-            scripts/dekc_search.py \
-            scripts/dekc_doctor.py \
-            scripts/dekc_link.py \
-            scripts/brain_session.py
+        run: python3 -m py_compile scripts/dekc_*.py scripts/brain_session.py
 
       - name: Validate + doctor sample-knowledge
         run: |
@@ -43,5 +32,7 @@ jobs:
       - name: Index + search
         run: |
           python3 scripts/dekc_index.py --repo . --bundle sample-knowledge build
+          python3 scripts/dekc_index.py status --repo . --bundle sample-knowledge --json | \
+            python3 -c "import json,sys; d=json.load(sys.stdin); assert d['fts5'] is True; assert d['nodes']>=1, d"
           python3 scripts/dekc_search.py revenue --repo . --bundle sample-knowledge --json | \
-            python3 -c "import json,sys; d=json.load(sys.stdin); assert d['count']>=1, d"
+            python3 -c "import json,sys; d=json.load(sys.stdin); assert d['count']>=1, d; assert d['engine'] in ('index','rg','scan')"
diff --git a/.gitignore b/.gitignore
index 48fa9c2..e485f5e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,3 +34,12 @@ src/routeTree.gen.ts
 # Isolation session bookkeeping
 .brain-sessions/
 .brain-worktrees/
+
+# Disposable retrieval index (docs/designs/retrieval-ladder.md). Git + Markdown
+# stay source of truth; deleting these files is always valid recovery.
+# Do not ignore the whole `.dekc/` directory — repo-level `.dekc/config.yml` lives there.
+**/.dekc/index.sqlite
+**/.dekc/index.sqlite-journal
+**/.dekc/index.sqlite-wal
+**/.dekc/index.sqlite-shm
+
diff --git a/.grok-plugin/marketplace.json b/.grok-plugin/marketplace.json
index 49eb3f6..3b6c9da 100644
--- a/.grok-plugin/marketplace.json
+++ b/.grok-plugin/marketplace.json
@@ -1,13 +1,13 @@
 {
   "name": "dekc-plugin-marketplace",
   "description": "Optional native Grok marketplace metadata. Grok Build loads Claude plugins with zero config; this pins identity for listings.",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "plugins": [
     {
       "name": "data-engineering-knowledge-capture",
       "source": ".",
       "description": "DEKC \u2014 data engineering knowledge capture on PKC + OKF. Claude-compatible.",
-      "version": "0.4.3",
+      "version": "0.5.0",
       "compatibility": {
         "claude_plugin": true,
         "zero_config": true
diff --git a/.opencode/plugin/dekc.json b/.opencode/plugin/dekc.json
index 9c84d7a..0c2ba17 100644
--- a/.opencode/plugin/dekc.json
+++ b/.opencode/plugin/dekc.json
@@ -1,6 +1,6 @@
 {
   "name": "data-engineering-knowledge-capture",
-  "version": "0.4.2",
+  "version": "0.5.0",
   "description": "OpenCode port of DEKC \u2014 same skills/agents/scripts as Claude & Codex. Policy via AGENTS.md.",
   "skills": "../../skills",
   "agents": "../../agents",
diff --git a/AGENTS.md b/AGENTS.md
index 57ef975..0d9dd53 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -21,6 +21,7 @@ One plugin tree, multiple hosts. Do not diverge packaging without updating [PORT
 ## Docs
 
 - [User guide](./docs/user_guide/user-guide.md) — install, walks, streams/jobs, multi-cloud recipes
+- [Retrieval ladder](./docs/designs/retrieval-ladder.md) — SQLite index → rg → scan; Git stays truth
 - [Design doc](./docs/designs/current_design_doc.md) — AGER agent loops, adversarial rubrics, Azure Fabric / AWS / GCP
 - [Typed edges](./docs/typed-edges.md)
 - [PORTS](./PORTS.md)
@@ -64,11 +65,12 @@ Plugin root: `${CLAUDE_PLUGIN_ROOT}`.
 2. Prefer deterministic scripts; agents extract structure from free text / SQL.
 3. Idempotent writes; never invent lineage edges.
 4. Direction matters: bronze → silver → gold; business objects `derived_from` tables.
-5. After walks: grade (`dekc_grade.py` + adversarial judges) then `dekc_index.py build` + `dekc_doctor.py`.
+5. After walks: grade (`dekc_grade.py` + adversarial judges) then `dekc_doctor.py`. Search/pack refresh `knowledge/.dekc/index.sqlite` themselves; `dekc_index.py build` is optional (`refresh --force`).
 6. Progressive disclosure: 2-hop packs (~20 nodes).
 7. Scrub secrets/PII on capture.
 8. **No RE success without re-adversary-judge pass** (threshold 0.75) unless user waives.
 9. On fail: capture missing evidence or **retract** unproven claims — never invent to raise scores.
+10. Never install ripgrep (or any package) from a hook. rg is optional. `DEKC_NO_INDEX=1` / `--no-index` fall through to rg then scan.
 
 ## Orchestrators
 
diff --git a/CHANGELOG.md b/CHANGELOG.md
index e0b07ac..ec2fcdc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,8 +2,50 @@
 
 ## Unreleased
 
+## 0.5.0 — 2026-08-30
+
+Retrieval ladder: Git + Markdown stays source of truth. Accelerators are disposable.
+Replaces the JSON `knowledge/.index/` inverted index (which was committed by accident).
+
+### Added
+
+- **ripgrep accelerator** for search and pack. `dekc_search.py` uses `rg -l` as a
+  candidate prefilter when `rg` is on PATH (or `DEKC_RG_PATH` / `PKC_RG_PATH` /
+  `OKF_RG_PATH`). Ranking stays in Python, so scores match a full scan.
+  `--no-rg` forces the linear walk. Missing rg is not an error. Never installed
+  from a hook.
+- **rg-backed reverse index** in `dekc_pack.py`. Inbound discovery is
+  `rg -lF` of the concept path; the current file is always parsed for outbound
+  typed-flow + SQL lineage (the file almost never contains its own path).
+- `dekc_doctor.py` reports a **toolchain** section (rg found/missing, FTS5, index).
+- **SQLite/FTS5 incremental index.** `scripts/dekc_index.py` writes
+  `knowledge/.dekc/index.sqlite` (gitignored). Search and pack self-heal via
+  mtime+size on every call. LIKE on a stored haystack is the default candidate
+  prefilter so Python scores stay identical to a scan. `--engine fts` is the
+  FTS5 MATCH opt-in. `--no-index` / `DEKC_NO_INDEX=1` fall through to rg then
+  scan. `/dekc-index` skill for status/refresh/drop. `build` remains an alias
+  for `refresh --force` (CI / existing skills).
+- SQL lineage edges store `origin` (the file that authored them) so incremental
+  delete does not leak table-to-table edges after the source file vanishes.
+- Retrieval ladder locked in [`docs/designs/retrieval-ladder.md`](docs/designs/retrieval-ladder.md).
+
+### Changed
+
+- Host manifests (`.opencode/plugin/dekc.json`, `public/data/catalog.json`)
+  lockstep with root `plugin.json` **0.5.0**. They were still labeled 0.4.2.
+
+### Notes
+
+- Pack identity: lineage is undirected for every visited node; extra non-lineage
+  `links[]` still attach to the focus only. Graphs match a scan unless
+  `--engine fts`.
+- `dekc_pack.py --mermaid` still calls `build_graph` (full scan). Accepted leftover.
+- Do not ignore the whole `.dekc/` directory — `.dekc/config.example.yml` is
+  committed. Gitignore only `**/.dekc/index.sqlite*`.
+
 ## 0.4.3 — 2026-08-30
 
+
 - `dekc_doctor.py` reports toolchain (ripgrep / SQLite FTS5). Search already
   goes through `knowledge/.index`; rg is optional, not a second index.
 
diff --git a/CLAUDE.md b/CLAUDE.md
index 3dc4190..be352e6 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -12,14 +12,16 @@ Depends on **PKC** + **OKF**. Dual/quad host: Claude, Grok, Codex, OpenCode —
 
 ```bash
 python3 tests/test_dekc.py
+python3 tests/test_retrieval_ladder.py
 python3 scripts/dekc_validate.py --bundle sample-knowledge
 python3 scripts/dekc_doctor.py --bundle sample-knowledge
+npm run test
 npm run dev          # explorer on :8080
 npm run typecheck
 npm run build
 ```
 
-Add new `scripts/dekc_*.py` to `package.json` typecheck/test lists and CI.
+Add new `scripts/dekc_*.py` is covered the moment it lands: `npm run py:compile` and CI both `py_compile scripts/dekc_*.py`.
 
 ## Layout
 
@@ -34,6 +36,7 @@ Add new `scripts/dekc_*.py` to `package.json` typecheck/test lists and CI.
 - Absolute in-bundle links; typed `links[].rel` for lineage/business edges
 - Never invent edges; prefer scripts over freehand Markdown when possible
 - Reverse engineering: orchestrators + adversarial skeptics/rubrics (`dekc_grade.py`, re-adversary-judge); no success without pass
+- Retrieval: Git + Markdown is truth. `knowledge/.dekc/index.sqlite` is a disposable SQLite/FTS5 accelerator (gitignored, mtime+size self-heal). Ripgrep is optional (`DEKC_RG_PATH`). Search and pack must keep working when rg or FTS5 is absent. Never install packages from a hook. See `docs/designs/retrieval-ladder.md`. Do not resurrect JSON `.index/`.
 
 ## Docs
 
diff --git a/README.md b/README.md
index 7184dee..c395bf5 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ DEKC **extends [Project Knowledge Capture (PKC)](https://github.com/SpillwaveSol
 |---|---|
 | **Plugin name** | `data-engineering-knowledge-capture` |
 | **Repo** | [SpillwaveSolutions/data-engineering-knowledge-capture](https://github.com/SpillwaveSolutions/data-engineering-knowledge-capture) |
-| **Version** | 0.4.3 |
+| **Version** | 0.5.0 |
 | **License** | MIT |
 | **Hosts** | Claude Code · Grok Build · Codex · OpenCode · Agent Plugins 1.0 · Grok Bot · LangChain Deep Agents |
 
@@ -16,6 +16,7 @@ DEKC **extends [Project Knowledge Capture (PKC)](https://github.com/SpillwaveSol
 
 | Doc | Audience |
 |-----|----------|
+| **[Retrieval ladder](./docs/designs/retrieval-ladder.md)** | Search/pack: SQLite index → rg → scan. Git stays truth. |
 | **[Noun-ownership migration](./docs/user_guide/noun-ownership-migration.md)** | Existing brains: `Workflow` → `IngestionJob`; mixed AGER/SAC types |
 | **[User guide](./docs/user_guide/user-guide.md)** | Install, walk a lake, promote business objects, multi-cloud recipes |
 | **[Design doc](./docs/designs/current_design_doc.md)** | Agent graph loops (AGER), Azure Fabric / AWS / GCP reverse engineering, streams & jobs |
@@ -81,7 +82,8 @@ Standard concept schemas: [`schemas/okf-concepts/`](./schemas/okf-concepts/) (Ta
 ```bash
 python3 scripts/dekc_schemas.py list
 python3 scripts/dekc_schemas.py validate --bundle sample-knowledge
-python3 scripts/dekc_index.py --bundle sample-knowledge build   # refresh search index
+python3 scripts/dekc_index.py status --bundle sample-knowledge
+python3 scripts/dekc_index.py refresh --bundle sample-knowledge   # self-heals; search/pack also refresh
 ```
 
 
@@ -200,8 +202,8 @@ python3 scripts/dekc_walk.py path/to/lake --repo . --bundle knowledge
 python3 scripts/dekc_lineage.py --repo . --bundle knowledge materialize
 python3 scripts/dekc_business.py --repo . --bundle knowledge promote-layer --layer gold
 
-# Index second brain + health
-python3 scripts/dekc_index.py --repo . --bundle knowledge build
+# Index second brain + health (search/pack refresh the index themselves)
+python3 scripts/dekc_index.py status --repo . --bundle knowledge
 python3 scripts/dekc_doctor.py --repo . --bundle knowledge
 python3 scripts/dekc_search.py "revenue" --repo . --bundle knowledge
 ```
@@ -252,31 +254,41 @@ python3 scripts/dekc_doctor.py --bundle sample-knowledge
 
 ## Second-brain index
 
-> **Do not commit the index.** It is fully derived and rebuilds in seconds;
-> `search.json` alone runs to megabytes and would churn every diff. Add this to
-> your `.gitignore` (a copy ships at `templates/gitignore-fragment`):
+Git + Markdown is the source of truth. Search and pack use a disposable ladder
+(SQLite FTS5 index → ripgrep → full scan). Deleting the accelerators is always
+valid recovery. See [retrieval ladder](./docs/designs/retrieval-ladder.md).
+
+> **Do not commit the index.** Add this to your `.gitignore` (a copy ships at
+> `templates/gitignore-fragment`):
 >
 > ```gitignore
 > **/.index/
+> **/.dekc/index.sqlite
+> **/.dekc/index.sqlite-journal
+> **/.dekc/index.sqlite-wal
+> **/.dekc/index.sqlite-shm
 > ```
 >
-> `**/.index/` rather than `*/.index/`, so it holds at any nesting depth and for
-> every bundle rather than one hardcoded name. A repo with two bundles is where
-> the narrower pattern shows: ignoring `knowledge/.index/` leaves the second
-> bundle's index sitting in `git status`.
-
+> Do not ignore the whole `.dekc/` directory — repo-level config lives there.
+> `**/.index/` still ignores the old JSON inverted index from 0.4.x so it
+> cannot be re-committed.
 
-`dekc_index.py build` writes:
+`dekc_index.py` writes:
 
 ```text
-<bundle>/.index/
-  inventory.json
-  search.json
-  graph.json
-  embeddings.jsonl   # local bag-of-tokens (no API key)
-  manifest.json
+<bundle>/.dekc/index.sqlite   # incremental, mtime+size self-heal
+```
+
+```bash
+python3 scripts/dekc_index.py status --bundle knowledge
+python3 scripts/dekc_index.py refresh --bundle knowledge
+python3 scripts/dekc_index.py drop --bundle knowledge
 ```
 
+Search, pack, and doctor refresh the index themselves. `build` is an alias
+for `refresh --force`. Ranking stays in Python so scores match a full scan
+unless you pass `--engine fts`. `DEKC_NO_INDEX=1` / `--no-index` fall through
+to rg then scan. Missing `rg` is not an error.
 ## Config
 
 See [`.dekc/config.example.yml`](./.dekc/config.example.yml).
diff --git a/agents/data-lake-walker.md b/agents/data-lake-walker.md
index aaf7bd1..fc00086 100644
--- a/agents/data-lake-walker.md
+++ b/agents/data-lake-walker.md
@@ -14,7 +14,7 @@ DEKC extends **PKC** and **OKF**. Multi-agent loops follow **AGER** ([okf-agent-
 3. Scrub secrets/PII before writing concepts.
 4. Progressive disclosure: 2-hop packs (~20 nodes).
 5. **No success claim without re-adversary-judge pass** (or explicit user waiver).
-6. After accepted walks: `dekc_index.py build`.
+6. After accepted walks: `dekc_doctor.py`. Search/pack refresh the SQLite index themselves; `dekc_index.py build` is optional (`refresh --force`).
 
 ## Producer subagents (Workers)
 
diff --git a/agents/reverse-engineering-orchestrator.md b/agents/reverse-engineering-orchestrator.md
index 1bac641..7ef7dc7 100644
--- a/agents/reverse-engineering-orchestrator.md
+++ b/agents/reverse-engineering-orchestrator.md
@@ -67,8 +67,8 @@ python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_lineage.py" --repo . --bundle knowle
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_business.py" --repo . --bundle knowledge promote-layer --layer gold
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_grade.py" --repo . --bundle knowledge --json
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_grade.py" --repo . --bundle knowledge --prefix semantic,tables/gold-,reports,dashboards
-python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" --repo . --bundle knowledge build
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_doctor.py" --repo . --bundle knowledge
+# optional: python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" refresh --force --repo . --bundle knowledge
 ```
 
 Write judgments under `knowledge/agents/judgment-<run>.md` (or `agents/` if colocated) with scores, failed criteria, and required revisions.
diff --git a/commands/dekc-index.md b/commands/dekc-index.md
index d0e63ac..543dfb4 100644
--- a/commands/dekc-index.md
+++ b/commands/dekc-index.md
@@ -1,6 +1,6 @@
 ---
 name: dekc-index
-description: Rebuild the local second-brain index (inventory, inverted search, graph, embeddings).
+description: Refresh, inspect, or drop the disposable SQLite/FTS5 knowledge index.
 ---
 
 Run the **dekc-index** skill.
diff --git a/commands/dekc-search.md b/commands/dekc-search.md
index 59fe773..f72c893 100644
--- a/commands/dekc-search.md
+++ b/commands/dekc-search.md
@@ -1,6 +1,6 @@
 ---
 name: dekc-search
-description: Search the indexed DEKC second brain.
+description: Full-text search over the DEKC knowledge bundle (AND terms, type filters).
 ---
 
 Run the **dekc-search** skill.
diff --git a/docs/designs/current_design_doc.md b/docs/designs/current_design_doc.md
index ca3c3eb..1b6be67 100644
--- a/docs/designs/current_design_doc.md
+++ b/docs/designs/current_design_doc.md
@@ -21,7 +21,9 @@ Related systems:
 | PKC | Project reasoning capture | [project-knowledge-capture](https://github.com/SpillwaveSolutions/project-knowledge-capture) |
 | DEKC | Data-domain catalogs + walk scripts + agents | this repo |
 
-AGER spec version referenced: **0.3.0** ([AGER_SPEC](https://github.com/SpillwaveSolutions/okf-agent-graph/blob/main/docs/AGER_SPEC.md)). DEKC plugin **0.2.0**.
+AGER spec version referenced: **0.3.0** ([AGER_SPEC](https://github.com/SpillwaveSolutions/okf-agent-graph/blob/main/docs/AGER_SPEC.md)). DEKC plugin **0.5.0**.
+
+**v0.5.0 retrieval:** search/pack use a disposable ladder (SQLite FTS5 index → ripgrep → scan). Git + Markdown is still the source of truth. See [`docs/designs/retrieval-ladder.md`](retrieval-ladder.md) — the `.index/` JSON layout later in this snapshot is historical (0.4.x) and is not how 0.5.0 retrieves.
 
 ---
 
diff --git a/docs/designs/retrieval-ladder.md b/docs/designs/retrieval-ladder.md
new file mode 100644
index 0000000..b05f22f
--- /dev/null
+++ b/docs/designs/retrieval-ladder.md
@@ -0,0 +1,127 @@
+---
+wiki_key: design/retrieval-ladder
+doc_type: design
+truth_state: current
+---
+
+# Retrieval ladder
+
+Git + Markdown is the source of truth on every rung. Everything above Git is
+a disposable accelerator you can delete and rebuild. Same philosophy as PKC
+(`docs/designs/retrieval-ladder.md` there) and research-graph (`rg_project.py`:
+"the index can be destroyed and rebuilt").
+
+Each rung attacks a different cost, buys roughly an order of magnitude of
+scale, and keeps the rung below it as a runtime fallback:
+
+```
+index present  →  use it
+else rg on PATH  →  prefilter
+else             →  pure Python scan
+```
+
+Three tiers, one behavior. `--no-rg` / `--no-index` force a lower rung.
+
+0.4.x wrote JSON `knowledge/.index/` (inventory + inverted tokens) and
+rebuilt the whole thing. That was a full scan plus a JSON parse, and it
+got committed by accident. 0.5.0 replaced it with PKC's ladder: SQLite FTS5
+at `knowledge/.dekc/index.sqlite`, gitignored, incremental, self-healing.
+
+## Rung 1 — ripgrep prefilter (now)
+
+**Cost it attacks:** reading and lowercasing files that cannot possibly match.
+
+**Mechanics:** `find_rg()` / `rg_list_files()` in `dekc_common.py`. Search
+AND-intersects `rg -l` per term, then runs the existing Python scorer
+(`title×10 / description×5 / tags×4 / min(body,8)`) over only those
+candidates. Pack inbound discovery is `rg -lF` of the concept path, then
+the current file is always parsed for outbound typed-flow + SQL lineage
+(the file almost never contains its own path). Override with `DEKC_RG_PATH`
+/ `PKC_RG_PATH` / `OKF_RG_PATH`. Missing rg is not an error.
+
+**Why scores stay identical:** rg only decides which files get read.
+Over-selection is harmless (Python re-checks). It cannot under-select for
+plain substring terms.
+
+**Why it is first:** no state on disk, so no cache-staleness class of bugs.
+Zero new dependencies. Claude Code / Grok hosts usually ship `rg`.
+
+**Ceiling:** still an O(corpus) scan per query — compiled, parallel,
+memory-mapped. It only accelerates "which files contain X." Parsed-graph
+commands (validate, doctor orphans, mermaid via `build_graph`) still walk
+the tree. The curate hook does not install rg and does not build the index.
+
+| Hot path | Rung 1 helps? | Why |
+|---|---|---|
+| `dekc_search.py` | yes | candidate prefilter |
+| `dekc_pack.py` inbound | yes | reverse index via literal path + self SQL |
+| `dekc_validate.py` / `dekc-curate.sh` | **no** | must parse frontmatter + resolve links |
+| orphans / doctor listings | **no** | need the parsed graph |
+| mermaid (`build_graph`) | **no** | leftover full scan; accepted |
+
+## Rung 2 — stdlib SQLite + FTS5 incremental index (now)
+
+**Cost it attacks:** re-parsing files that have not changed since the last
+invocation.
+
+**Why SQLite:** `sqlite3` is in the stdlib. FTS5 is compiled into CPython
+(doctor reports it). Honors the hard "no pip dependencies" rule. One file,
+atomic transactions, concurrent readers, trivially deletable.
+
+**Shape:**
+
+| Table | Role |
+|---|---|
+| `meta(schema_version)` | drop-rebuild on mismatch |
+| `nodes(path, type, title, description, status, tags, layer, mtime, size, fm_json, body, hay)` | concept cards |
+| `edges(src, dst, rel, label, origin)` | typed flow + SQL lineage; `origin` is the file that authored the edge so incremental delete does not leak |
+| `fts` (FTS5 over title / description / tags / body) | lexical retrieval (`--engine fts`) |
+
+Path: `knowledge/.dekc/index.sqlite`. Gitignore `**/.dekc/index.sqlite*`.
+Do not ignore the whole `.dekc/` directory — repo-level
+`.dekc/config.example.yml` lives there. Never a hook install, never a pip
+dep. `scripts/dekc_index.py` + `/dekc-index`.
+
+**Incremental refresh is the whole trick.** On each invocation the reader
+stats the tree, compares `mtime+size` against stored rows, re-parses only
+what changed, deletes vanished files. Every reader does this sweep itself
+rather than trusting `dekc-curate.sh` — that makes it self-healing against
+hand edits, `git checkout`, branch switches, and a disabled hook. Cold
+rebuild costs one full scan. Steady-state queries are 1–10 ms.
+
+**Scoring identity.** FTS5 `bm25()` with column weights is *not* the same
+function as `title.count×10`. Same pattern as rg:
+
+- Default (`engine=index`): SQL LIKE on the stored haystack decides
+  candidates. Existing Python scorer ranks, so `--no-index` stays
+  score-identical.
+- `--engine fts` exposes FTS5 MATCH with prefix tokens as an opt-in.
+
+**Pack identity.** Lineage is undirected for every visited node (typed
+`FORWARD_FLOW` / `REVERSE_FLOW` + SQL `sql_from`). Extra non-lineage
+`links[]` are added on the focus only. Scores/graphs match a scan unless
+`--engine fts`.
+
+**Trigger.** Implemented. `DEKC_NO_INDEX=1` / `--no-index` disables it.
+`DEKC_INDEX_PATH` overrides the sqlite location (tests).
+
+## Rung 3 — okfcli (if ever)
+
+The fast-native slot is already assigned by okf-plugin working rule #1:
+prefer `okf` / `okfcli` when installed, else `python3`. A single static
+binary (Rust/Go) with the Python scripts as the portable fallback. Do not
+invent a second runtime (Ruby closed-won't-do, PKC #60).
+
+## Runtime degradation (load this, do not skip it)
+
+```
+def retrieve(bundle, query):
+    if index_ok(bundle):          # rung 2
+        return from_index(bundle, query)
+    if find_rg():                 # rung 1
+        return from_rg(bundle, query)
+    return from_scan(bundle, query)  # rung 0
+```
+
+Git remains the only durable store. Deleting `knowledge/.dekc/index.sqlite`
+is always valid recovery.
diff --git a/docs/user_guide/user-guide.md b/docs/user_guide/user-guide.md
index 51d4f2b..a3636c8 100644
--- a/docs/user_guide/user-guide.md
+++ b/docs/user_guide/user-guide.md
@@ -10,7 +10,7 @@ truth_state: current
 
 **Data Engineering Knowledge Capture** turns data platforms into a durable, Git-native [OKF](https://github.com/SpillwaveSolutions/okf-plugin) knowledge graph, with multi-agent walk loops designed using [AGER](https://github.com/SpillwaveSolutions/okf-agent-graph) (OKF Agent Graph Engineering Runtime).
 
-Plugin release **0.4.0**. Storage format is OKF **0.2**. Agent loops follow AGER **0.3** roles (orchestrator / worker / judge / synthesizer) even when you run DEKC skills without a separate AGER bundle.
+Plugin release **0.5.0**. Storage format is OKF **0.2**. Agent loops follow AGER **0.3** roles (orchestrator / worker / judge / synthesizer) even when you run DEKC skills without a separate AGER bundle. Search and pack use a disposable [retrieval ladder](../designs/retrieval-ladder.md) (SQLite index → ripgrep → scan); Git + Markdown stays source of truth.
 
 Existing second brains: [noun-ownership migration](./noun-ownership-migration.md) (`Workflow` jobs → `IngestionJob`; diagrams stay SAC).
 
@@ -193,8 +193,11 @@ python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_business.py" --repo . --bundle knowl
 
 ### 4. Index the second brain
 
+Git + Markdown is the source of truth. Search and pack refresh a disposable
+SQLite index themselves (mtime+size). You do not need to run this first.
+
 ```bash
-python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" --repo . --bundle knowledge build
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" status --repo . --bundle knowledge
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" "GMV" --repo . --bundle knowledge
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_doctor.py" --repo . --bundle knowledge
 ```
@@ -202,14 +205,12 @@ python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_doctor.py" --repo . --bundle knowled
 Index layout:
 
 ```text
-knowledge/.index/
-  inventory.json      # all concepts
-  search.json         # inverted tokens
-  graph.json          # lineage adjacency
-  embeddings.jsonl    # local bag-of-tokens vectors
-  manifest.json
+knowledge/.dekc/index.sqlite   # gitignored; delete anytime
 ```
 
+`build` is an alias for `refresh --force`. `--no-index` / `DEKC_NO_INDEX=1`
+fall through to ripgrep then a full scan. `--engine fts` opts into FTS5 MATCH
+(not score-identical). See [retrieval ladder](../designs/retrieval-ladder.md).
 ### 5. Progressive disclosure packs
 
 When an agent works on one table:
@@ -417,7 +418,7 @@ Explorer UI (this repo): `npm run dev` → open the live preview catalog tabs.
 | `dekc_capture.py <subcommand>` | source/table/view/query/lineage/… |
 | `dekc_lineage.py` | graph / upstream / mermaid / materialize |
 | `dekc_business.py` | promote / promote-layer |
-| `dekc_index.py` | build / search |
+| `dekc_index.py` | status / refresh / drop / build |
 | `dekc_pack.py` | context packs |
 | `dekc_search.py` | full-text + index |
 | `dekc_validate.py` / `dekc_doctor.py` | quality |
diff --git a/marketplace.json b/marketplace.json
index eaffb2c..22f7576 100644
--- a/marketplace.json
+++ b/marketplace.json
@@ -11,7 +11,7 @@
       "name": "data-engineering-knowledge-capture",
       "source": "./",
       "description": "Data lake second brain: schemas, lineage, medallion, semantic layer, glossary. Depends on PKC + OKF.",
-      "version": "0.4.3",
+      "version": "0.5.0",
       "author": {
         "name": "Rick Hightower"
       },
diff --git a/package.json b/package.json
index e1688cb..698603e 100644
--- a/package.json
+++ b/package.json
@@ -13,7 +13,7 @@
     "build:dev": "vite build --mode development",
     "preview": "vite preview --host 0.0.0.0 --port 8080",
     "typecheck": "tsc --noEmit",
-    "test": "python3 tests/test_dekc.py && python3 tests/test_fabric_walk_fixes.py && python3 tests/test_isolation.py",
+    "test": "python3 tests/test_dekc.py && python3 tests/test_retrieval_ladder.py && python3 tests/test_fabric_walk_fixes.py && python3 tests/test_isolation.py",
     "lint": "eslint .",
     "format": "prettier --write .",
     "test:js": "node --test 'scripts/**/*.test.mjs'",
@@ -23,7 +23,7 @@
     "brain": "python3 scripts/dekc_brain.py revenue --intent design-report --bundle sample-knowledge",
     "schemas": "python3 scripts/dekc_schemas.py list",
     "index": "python3 scripts/dekc_index.py --repo . --bundle sample-knowledge build",
-    "py:compile": "python3 -m py_compile scripts/dekc_common.py scripts/dekc_capture.py scripts/dekc_walk.py scripts/dekc_lineage.py scripts/dekc_business.py scripts/dekc_index.py scripts/dekc_validate.py scripts/dekc_pack.py scripts/dekc_search.py scripts/dekc_doctor.py scripts/dekc_link.py scripts/dekc_grade.py scripts/dekc_brain.py scripts/dekc_schemas.py scripts/dekc_diagram.py scripts/dekc_platform.py scripts/brain_session.py"
+    "py:compile": "python3 -m py_compile scripts/dekc_*.py scripts/brain_session.py"
   },
   "dependencies": {
     "@electric-sql/pglite": "^0.5.4",
@@ -99,6 +99,6 @@
     "vite": "^8.2.0"
   },
   "description": "Data Engineering Knowledge Capture (DEKC) \u2014 Claude/Grok/Codex/OpenCode plugin + explorer",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "license": "MIT"
 }
diff --git a/plugin.json b/plugin.json
index 28d92db..7972dd1 100644
--- a/plugin.json
+++ b/plugin.json
@@ -1,7 +1,7 @@
 {
   "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
   "name": "data-engineering-knowledge-capture",
-  "version": "0.4.3",
+  "version": "0.5.0",
   "description": "Data Engineering Knowledge Capture: schemas, lineage, medallion, semantic models, and glossary into a durable OKF knowledge graph. Multi-host bindings and write isolation.",
   "author": {
     "name": "Rick Hightower",
diff --git a/public/data/catalog.json b/public/data/catalog.json
index bf80ab8..4d46abd 100644
--- a/public/data/catalog.json
+++ b/public/data/catalog.json
@@ -1,6 +1,6 @@
 {
   "title": "Retail Lake Sample Knowledge",
-  "version": "0.4.2",
+  "version": "0.5.0",
   "depends_on": [
     "project-knowledge-capture",
     "okf-graph-eng"
diff --git a/public/data/manifest.json b/public/data/manifest.json
index 698fa79..aed7957 100644
--- a/public/data/manifest.json
+++ b/public/data/manifest.json
@@ -4,11 +4,8 @@
   "token_count": 211,
   "edge_count": 4,
   "bundle": "/workspace/sample-knowledge",
-  "engine": "dekc-local-bow-v1",
+  "engine": "dekc-sqlite-fts5-v1",
   "files": [
-    ".index/inventory.json",
-    ".index/search.json",
-    ".index/graph.json",
-    ".index/embeddings.jsonl"
+    ".dekc/index.sqlite"
   ]
 }
\ No newline at end of file
diff --git a/sample-knowledge/.index/embeddings.jsonl b/sample-knowledge/.index/embeddings.jsonl
deleted file mode 100644
index 6ddc5ce..0000000
--- a/sample-knowledge/.index/embeddings.jsonl
+++ /dev/null
@@ -1,83 +0,0 @@
-{"path": "agents/walk-retail-lake-walk.md", "type": "AgentNode", "title": "Lake walk: retail-lake-walk", "vector": {"lake": 0.580042, "walk": 0.580042, "dekc": 0.193347, "fixtures": 0.193347, "retail": 0.193347, "sample": 0.193347, "tests": 0.193347, "workspace": 0.193347, "14": 0.096674, "agent": 0.096674, "agentnode": 0.096674, "created": 0.096674, "errors": 0.096674, "json": 0.096674, "of": 0.096674, "root": 0.096674, "skipped": 0.096674, "stats": 0.096674, "updated": 0.096674}}
-{"path": "business-objects/customer-lifetime-value.md", "type": "BusinessObject", "title": "Customer Lifetime Value", "vector": {"customer": 0.545455, "value": 0.363636, "amounts": 0.181818, "based": 0.181818, "business": 0.181818, "gold": 0.181818, "gross": 0.181818, "historical": 0.181818, "lifetime": 0.181818, "ltv": 0.181818, "md": 0.181818, "of": 0.181818, "on": 0.181818, "order": 0.181818, "predicted": 0.181818, "realized": 0.181818, "views": 0.181818, "analytics": 0.090909, "businessobject": 0.090909, "definition": 0.090909, "dekc": 0.090909, "growth": 0.090909, "object": 0.090909, "owner": 0.090909, "sources": 0.090909, "technical": 0.090909}}
-{"path": "business-objects/customer-order.md", "type": "BusinessObject", "title": "Customer Order", "vector": {"customer": 0.39036, "order": 0.39036, "data": 0.29277, "after": 0.19518, "business": 0.19518, "canonical": 0.19518, "facts": 0.19518, "md": 0.19518, "orders": 0.19518, "purchase": 0.19518, "quality": 0.19518, "rules": 0.19518, "silver": 0.19518, "single": 0.19518, "source": 0.19518, "tables": 0.19518, "transaction": 0.19518, "businessobject": 0.09759, "commerce": 0.09759, "definition": 0.09759, "dekc": 0.09759, "object": 0.09759, "owner": 0.09759, "sources": 0.09759, "technical": 0.09759}}
-{"path": "business-objects/daily-order-summary.md", "type": "BusinessObject", "title": "Daily Order Summary", "vector": {"daily": 0.436436, "order": 0.436436, "business": 0.290957, "by": 0.290957, "summary": 0.290957, "currency": 0.145479, "facing": 0.145479, "finance": 0.145479, "forecasting": 0.145479, "gold": 0.145479, "gross": 0.145479, "growth": 0.145479, "md": 0.145479, "merchandise": 0.145479, "of": 0.145479, "pacing": 0.145479, "tables": 0.145479, "used": 0.145479, "value": 0.145479, "volume": 0.145479, "analytics": 0.072739, "businessobject": 0.072739, "definition": 0.072739, "dekc": 0.072739, "engineering": 0.072739, "object": 0.072739, "owner": 0.072739, "sources": 0.072739, "technical": 0.072739}}
-{"path": "catalogs/retail-unity-style-catalog.md", "type": "DataCatalog", "title": "Retail Unity-style Catalog", "vector": {"catalog": 0.548821, "retail": 0.439057, "schemas": 0.329293, "unity": 0.329293, "fabric": 0.219529, "style": 0.219529, "workspace": 0.219529, "data": 0.109764, "datacatalog": 0.109764, "datahub": 0.109764, "dekc": 0.109764, "engine": 0.109764, "glue": 0.109764, "of": 0.109764, "purview": 0.109764, "record": 0.109764, "system": 0.109764, "tables": 0.109764, "uri": 0.109764}}
-{"path": "columns/bronze-orders-raw-currency.md", "type": "Column", "title": "orders_raw.currency", "vector": {"currency": 0.666667, "code": 0.333333, "column": 0.333333, "iso": 0.333333, "orders_raw": 0.333333, "bronze": 0.166667, "dekc": 0.166667, "nullable": 0.166667, "string": 0.166667}}
-{"path": "columns/bronze-orders-raw-customer-id.md", "type": "Column", "title": "orders_raw.customer_id", "vector": {"column": 0.408248, "customer": 0.408248, "customer_id": 0.408248, "key": 0.408248, "orders_raw": 0.408248, "bronze": 0.204124, "dekc": 0.204124, "nullable": 0.204124, "string": 0.204124}}
-{"path": "columns/bronze-orders-raw-gross-amount.md", "type": "Column", "title": "orders_raw.gross_amount", "vector": {"column": 0.377964, "gross": 0.377964, "gross_amount": 0.377964, "merchandise": 0.377964, "orders_raw": 0.377964, "value": 0.377964, "bronze": 0.188982, "decimal": 0.188982, "dekc": 0.188982, "nullable": 0.188982}}
-{"path": "columns/bronze-orders-raw-order-id.md", "type": "Column", "title": "orders_raw.order_id", "vector": {"column": 0.408248, "identifier": 0.408248, "order": 0.408248, "order_id": 0.408248, "orders_raw": 0.408248, "bronze": 0.204124, "dekc": 0.204124, "nullable": 0.204124, "string": 0.204124}}
-{"path": "columns/bronze-orders-raw-order-ts.md", "type": "Column", "title": "orders_raw.order_ts", "vector": {"timestamp": 0.53033, "column": 0.353553, "order": 0.353553, "order_ts": 0.353553, "orders_raw": 0.353553, "utc": 0.353553, "bronze": 0.176777, "dekc": 0.176777, "nullable": 0.176777}}
-{"path": "columns/bronze-orders-raw-status.md", "type": "Column", "title": "orders_raw.status", "vector": {"column": 0.5, "order": 0.5, "orders_raw": 0.5, "bronze": 0.25, "dekc": 0.25, "nullable": 0.25, "string": 0.25}}
-{"path": "columns/gold-order-daily-currency.md", "type": "Column", "title": "order_daily.currency", "vector": {"column": 0.53033, "currency": 0.53033, "order_daily": 0.53033, "dekc": 0.176777, "gold": 0.176777, "nullable": 0.176777, "on": 0.176777, "string": 0.176777}}
-{"path": "columns/gold-order-daily-gross-revenue.md", "type": "Column", "title": "order_daily.gross_revenue", "vector": {"column": 0.53033, "gross_revenue": 0.53033, "order_daily": 0.53033, "decimal": 0.176777, "dekc": 0.176777, "gold": 0.176777, "nullable": 0.176777, "on": 0.176777}}
-{"path": "columns/gold-order-daily-order-count.md", "type": "Column", "title": "order_daily.order_count", "vector": {"column": 0.53033, "order_count": 0.53033, "order_daily": 0.53033, "bigint": 0.176777, "dekc": 0.176777, "gold": 0.176777, "nullable": 0.176777, "on": 0.176777}}
-{"path": "columns/gold-order-daily-order-date.md", "type": "Column", "title": "order_daily.order_date", "vector": {"column": 0.53033, "order_daily": 0.53033, "order_date": 0.53033, "date": 0.176777, "dekc": 0.176777, "gold": 0.176777, "nullable": 0.176777, "on": 0.176777}}
-{"path": "columns/silver-orders-currency.md", "type": "Column", "title": "orders.currency", "vector": {"column": 0.53033, "currency": 0.53033, "orders": 0.53033, "dekc": 0.176777, "nullable": 0.176777, "on": 0.176777, "silver": 0.176777, "string": 0.176777}}
-{"path": "columns/silver-orders-customer-id.md", "type": "Column", "title": "orders.customer_id", "vector": {"column": 0.53033, "customer_id": 0.53033, "orders": 0.53033, "dekc": 0.176777, "nullable": 0.176777, "on": 0.176777, "silver": 0.176777, "string": 0.176777}}
-{"path": "columns/silver-orders-gross-amount.md", "type": "Column", "title": "orders.gross_amount", "vector": {"column": 0.53033, "gross_amount": 0.53033, "orders": 0.53033, "decimal": 0.176777, "dekc": 0.176777, "nullable": 0.176777, "on": 0.176777, "silver": 0.176777}}
-{"path": "columns/silver-orders-order-id.md", "type": "Column", "title": "orders.order_id", "vector": {"column": 0.53033, "order_id": 0.53033, "orders": 0.53033, "dekc": 0.176777, "nullable": 0.176777, "on": 0.176777, "silver": 0.176777, "string": 0.176777}}
-{"path": "columns/silver-orders-order-ts.md", "type": "Column", "title": "orders.order_ts", "vector": {"column": 0.53033, "order_ts": 0.53033, "orders": 0.53033, "dekc": 0.176777, "nullable": 0.176777, "on": 0.176777, "silver": 0.176777, "timestamp": 0.176777}}
-{"path": "columns/silver-orders-status.md", "type": "Column", "title": "orders.status", "vector": {"column": 0.625543, "orders": 0.625543, "dekc": 0.208514, "nullable": 0.208514, "on": 0.208514, "silver": 0.208514, "string": 0.208514}}
-{"path": "dashboards/executive-revenue.md", "type": "Dashboard", "title": "Executive Revenue", "vector": {"revenue": 0.589768, "daily": 0.294884, "dashboard": 0.294884, "executive": 0.294884, "level": 0.294884, "order": 0.294884, "powerbi": 0.294884, "trends": 0.294884, "dekc": 0.147442, "tool": 0.147442}}
-{"path": "dax/total-revenue-dax.md", "type": "DaxArtifact", "title": "total-revenue-dax (DAX)", "vector": {"dax": 0.675053, "revenue": 0.450035, "total": 0.450035, "order_daily": 0.225018, "bi": 0.112509, "daxartifact": 0.112509, "dekc": 0.112509, "gross_revenue": 0.112509, "measure": 0.112509, "power": 0.112509, "sumx": 0.112509}}
-{"path": "dax/total-revenue.md", "type": "DaxArtifact", "title": "total_revenue (DAX)", "vector": {"dax": 0.842701, "total_revenue": 0.361158, "order_daily": 0.240772, "daxartifact": 0.120386, "dekc": 0.120386, "discovered": 0.120386, "gross_revenue": 0.120386, "revenue": 0.120386, "sumx": 0.120386, "total": 0.120386}}
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-{"path": "packs/pack-gold-order-daily.md", "type": "ContextPack", "title": "Pack: gold-order-daily", "vector": {"gold": 0.400445, "bronze": 0.367075, "table": 0.300334, "orders": 0.266963, "sql": 0.233593, "as": 0.200223, "md": 0.200223, "orders_raw": 0.200223, "daily": 0.166852, "order": 0.166852, "tables": 0.166852, "by": 0.133482, "inferred": 0.133482, "n0": 0.133482, "order_daily": 0.133482, "pack": 0.133482, "path": 0.133482, "silver": 0.133482, "customer": 0.100111, "layer": 0.100111, "n1": 0.100111, "select": 0.100111, "view": 0.100111, "api": 0.066741, "count": 0.066741, "create": 0.066741, "customer_id": 0.066741, "gross_amount": 0.066741, "group": 0.066741, "lifetime": 0.066741, "marts": 0.066741, "n2": 0.066741, "or": 0.066741, "order_count": 0.066741, "orders_api": 0.066741, "per": 0.066741, "raw": 0.066741, "referenced": 0.066741, "replace": 0.066741, "sales": 0.066741, "sum": 0.066741, "value": 0.066741, "cast": 0.03337, "context": 0.03337, "contextpack": 0.03337, "currency": 0.03337, "customer_ltv": 0.03337, "date": 0.03337, "dekc": 0.03337, "diagram": 0.03337, "disclosure": 0.03337, "flowchart": 0.03337, "gross_revenue": 0.03337, "hops": 0.03337, "landing": 0.03337, "lifetime_value": 0.03337, "lineage": 0.03337, "lr": 0.03337, "ltv": 0.03337, "mermaid": 0.03337, "nodes": 0.03337, "order_date": 0.03337, "order_ts": 0.03337, "progressive": 0.03337}}
-{"path": "products/daily-revenue-product.md", "type": "DataProduct", "title": "Daily Revenue Product", "vector": {"product": 0.6, "daily": 0.4, "data": 0.4, "revenue": 0.4, "bi": 0.2, "certified": 0.2, "apps": 0.1, "consumers": 0.1, "dataproduct": 0.1, "dekc": 0.1, "domains": 0.1, "downstream": 0.1, "publishable": 0.1, "reports": 0.1}}
-{"path": "quality/gold-order-daily-freshness.md", "type": "DQRule", "title": "gold-order-daily-freshness", "vector": {"gold": 0.51031, "freshness": 0.408248, "daily": 0.306186, "order": 0.306186, "be": 0.204124, "day": 0.204124, "fresh": 0.204124, "mart": 0.204124, "must": 0.204124, "within": 0.204124, "current_date": 0.102062, "dekc": 0.102062, "dq": 0.102062, "dqrule": 0.102062, "error": 0.102062, "expression": 0.102062, "max": 0.102062, "md": 0.102062, "order_date": 0.102062, "quality": 0.102062, "severity": 0.102062, "tables": 0.102062, "target": 0.102062}}
-{"path": "queries/customer-ltv.md", "type": "Query", "title": "customer_ltv", "vector": {"sql": 0.631169, "customer_ltv": 0.450835, "as": 0.270501, "gold": 0.270501, "customer_id": 0.180334, "discovered": 0.180334, "marts": 0.180334, "query": 0.180334, "by": 0.090167, "count": 0.090167, "create": 0.090167, "dekc": 0.090167, "gross_amount": 0.090167, "group": 0.090167, "lifetime_value": 0.090167, "or": 0.090167, "order_count": 0.090167, "orders": 0.090167, "replace": 0.090167, "select": 0.090167, "silver": 0.090167, "sum": 0.090167, "view": 0.090167}}
-{"path": "queries/daily-medallion.md", "type": "Query", "title": "daily_medallion", "vector": {"sql": 0.7298, "daily_medallion": 0.417029, "discovered": 0.208514, "query": 0.208514, "workflows": 0.208514, "aggregate": 0.104257, "api": 0.104257, "bronze": 0.104257, "clean": 0.104257, "dekc": 0.104257, "documented": 0.104257, "gold": 0.104257, "land": 0.104257, "orchestrated": 0.104257, "order_daily": 0.104257, "orders": 0.104257, "orders_raw": 0.104257, "select": 0.104257, "silver": 0.104257, "steps": 0.104257}}
-{"path": "queries/order-daily.md", "type": "Query", "title": "order_daily", "vector": {"sql": 0.591608, "as": 0.422577, "order_daily": 0.422577, "gold": 0.253546, "discovered": 0.169031, "marts": 0.169031, "query": 0.169031, "by": 0.084515, "cast": 0.084515, "count": 0.084515, "create": 0.084515, "currency": 0.084515, "date": 0.084515, "dekc": 0.084515, "gross_amount": 0.084515, "gross_revenue": 0.084515, "group": 0.084515, "or": 0.084515, "order_count": 0.084515, "order_date": 0.084515, "order_ts": 0.084515, "orders": 0.084515, "replace": 0.084515, "select": 0.084515, "silver": 0.084515, "sum": 0.084515, "table": 0.084515}}
-{"path": "queries/orders-raw.md", "type": "Query", "title": "orders_raw", "vector": {"sql": 0.686406, "orders_raw": 0.49029, "bronze": 0.294174, "discovered": 0.196116, "query": 0.196116, "sales": 0.196116, "as": 0.098058, "create": 0.098058, "dekc": 0.098058, "landing": 0.098058, "or": 0.098058, "orders_api": 0.098058, "replace": 0.098058, "select": 0.098058, "table": 0.098058}}
-{"path": "queries/orders.md", "type": "Query", "title": "orders", "vector": {"sql": 0.664411, "orders": 0.474579, "silver": 0.284747, "discovered": 0.189832, "query": 0.189832, "sales": 0.189832, "as": 0.094916, "bronze": 0.094916, "create": 0.094916, "currency": 0.094916, "customer_id": 0.094916, "dekc": 0.094916, "gross_amount": 0.094916, "is": 0.094916, "or": 0.094916, "order_id": 0.094916, "order_ts": 0.094916, "orders_raw": 0.094916, "replace": 0.094916, "select": 0.094916, "table": 0.094916, "where": 0.094916}}
-{"path": "queries/total-revenue-dax.md", "type": "Query", "title": "total-revenue-dax", "vector": {"dax": 0.505076, "revenue": 0.505076, "total": 0.505076, "bi": 0.202031, "measure": 0.202031, "order_daily": 0.202031, "power": 0.202031, "query": 0.202031, "dekc": 0.101015, "gross_revenue": 0.101015, "sumx": 0.101015}}
-{"path": "queries/total-revenue.md", "type": "Query", "title": "total_revenue", "vector": {"dax": 0.842927, "total_revenue": 0.374634, "discovered": 0.187317, "order_daily": 0.187317, "query": 0.187317, "dekc": 0.093659, "gross_revenue": 0.093659, "revenue": 0.093659, "sumx": 0.093659, "total": 0.093659}}
-{"path": "reports/weekly-commerce-digest.md", "type": "Report", "title": "Weekly Commerce Digest", "vector": {"weekly": 0.549442, "automated": 0.274721, "commerce": 0.274721, "digest": 0.274721, "ltv": 0.274721, "of": 0.274721, "order": 0.274721, "pdf": 0.274721, "report": 0.274721, "trends": 0.274721, "dekc": 0.137361}}
-{"path": "schemas/bronze.md", "type": "Schema", "title": "bronze", "vector": {"bronze": 0.609994, "schema": 0.609994, "tables": 0.304997, "dekc": 0.152499, "in": 0.152499, "md": 0.152499, "orders": 0.152499, "orders_raw": 0.152499, "raw": 0.152499, "views": 0.152499}}
-{"path": "schemas/gold.md", "type": "Schema", "title": "gold", "vector": {"gold": 0.609994, "schema": 0.609994, "tables": 0.304997, "daily": 0.152499, "dekc": 0.152499, "in": 0.152499, "md": 0.152499, "order": 0.152499, "order_daily": 0.152499, "views": 0.152499}}
-{"path": "schemas/silver.md", "type": "Schema", "title": "silver", "vector": {"schema": 0.603023, "silver": 0.603023, "orders": 0.301511, "tables": 0.301511, "dekc": 0.150756, "in": 0.150756, "md": 0.150756, "views": 0.150756}}
-{"path": "semantic/retail-commerce-model.md", "type": "SemanticModel", "title": "Retail Commerce Model", "vector": {"semantic": 0.481543, "layer": 0.361158, "bi": 0.240772, "commerce": 0.240772, "gold": 0.240772, "marts": 0.240772, "model": 0.240772, "order": 0.240772, "over": 0.240772, "retail": 0.240772, "tools": 0.240772, "binding": 0.120386, "business": 0.120386, "dekc": 0.120386, "metrics": 0.120386, "semanticmodel": 0.120386, "tables": 0.120386, "technical": 0.120386, "to": 0.120386}}
-{"path": "sources/product-catalog-sftp.md", "type": "SourceSystem", "title": "product-catalog-sftp", "vector": {"sftp": 0.594089, "catalog": 0.396059, "product": 0.396059, "files": 0.297044, "file": 0.19803, "flat": 0.19803, "nightly": 0.19803, "via": 0.19803, "com": 0.099015, "dekc": 0.099015, "example": 0.099015, "kind": 0.099015, "notes": 0.099015, "products": 0.099015, "source": 0.099015, "sourcesystem": 0.099015, "uri": 0.099015}}
-{"path": "sources/retail-lake-walk.md", "type": "SourceSystem", "title": "retail-lake-walk", "vector": {"lake": 0.752618, "fixtures": 0.250873, "sample": 0.250873, "tests": 0.250873, "workspace": 0.250873, "at": 0.167248, "data": 0.167248, "retail": 0.167248, "walk": 0.167248, "walked": 0.167248, "dekc": 0.083624, "kind": 0.083624, "notes": 0.083624, "source": 0.083624, "sourcesystem": 0.083624, "uri": 0.083624}}
-{"path": "sources/retail-lake.md", "type": "SourceSystem", "title": "retail-lake", "vector": {"lake": 0.6799, "retail": 0.485643, "analytics": 0.194257, "data": 0.194257, "delta": 0.194257, "models": 0.194257, "primary": 0.194257, "sql": 0.194257, "acme": 0.097129, "dekc": 0.097129, "kind": 0.097129, "notes": 0.097129, "s3": 0.097129, "source": 0.097129, "sourcesystem": 0.097129, "uri": 0.097129}}
-{"path": "sql/customer-ltv.md", "type": "SqlArtifact", "title": "customer_ltv (SQL)", "vector": {"sql": 0.643268, "customer_ltv": 0.428845, "as": 0.321634, "customer_id": 0.214423, "gold": 0.214423, "by": 0.107211, "count": 0.107211, "create": 0.107211, "dekc": 0.107211, "discovered": 0.107211, "gross_amount": 0.107211, "group": 0.107211, "lifetime_value": 0.107211, "marts": 0.107211, "or": 0.107211, "order_count": 0.107211, "orders": 0.107211, "replace": 0.107211, "select": 0.107211, "silver": 0.107211, "sqlartifact": 0.107211, "sum": 0.107211, "view": 0.107211}}
-{"path": "sql/daily-medallion.md", "type": "SqlArtifact", "title": "daily_medallion (SQL)", "vector": {"sql": 0.755929, "daily_medallion": 0.377964, "aggregate": 0.125988, "api": 0.125988, "bronze": 0.125988, "clean": 0.125988, "dekc": 0.125988, "discovered": 0.125988, "documented": 0.125988, "gold": 0.125988, "land": 0.125988, "orchestrated": 0.125988, "order_daily": 0.125988, "orders": 0.125988, "orders_raw": 0.125988, "select": 0.125988, "silver": 0.125988, "sqlartifact": 0.125988, "steps": 0.125988, "workflows": 0.125988}}
-{"path": "sql/order-daily.md", "type": "SqlArtifact", "title": "order_daily (SQL)", "vector": {"sql": 0.588348, "as": 0.49029, "order_daily": 0.392232, "gold": 0.196116, "by": 0.098058, "cast": 0.098058, "count": 0.098058, "create": 0.098058, "currency": 0.098058, "date": 0.098058, "dekc": 0.098058, "discovered": 0.098058, "gross_amount": 0.098058, "gross_revenue": 0.098058, "group": 0.098058, "marts": 0.098058, "or": 0.098058, "order_count": 0.098058, "order_date": 0.098058, "order_ts": 0.098058, "orders": 0.098058, "replace": 0.098058, "select": 0.098058, "silver": 0.098058, "sqlartifact": 0.098058, "sum": 0.098058, "table": 0.098058}}
-{"path": "sql/orders-raw.md", "type": "SqlArtifact", "title": "orders_raw (SQL)", "vector": {"sql": 0.727607, "orders_raw": 0.485071, "bronze": 0.242536, "as": 0.121268, "create": 0.121268, "dekc": 0.121268, "discovered": 0.121268, "landing": 0.121268, "or": 0.121268, "orders_api": 0.121268, "replace": 0.121268, "sales": 0.121268, "select": 0.121268, "sqlartifact": 0.121268, "table": 0.121268}}
-{"path": "sql/orders.md", "type": "SqlArtifact", "title": "orders (SQL)", "vector": {"sql": 0.69282, "orders": 0.46188, "silver": 0.23094, "as": 0.11547, "bronze": 0.11547, "create": 0.11547, "currency": 0.11547, "customer_id": 0.11547, "dekc": 0.11547, "discovered": 0.11547, "gross_amount": 0.11547, "is": 0.11547, "or": 0.11547, "order_id": 0.11547, "order_ts": 0.11547, "orders_raw": 0.11547, "replace": 0.11547, "sales": 0.11547, "select": 0.11547, "sqlartifact": 0.11547, "table": 0.11547, "where": 0.11547}}
-{"path": "storage/bronze-orders-prefix.md", "type": "StorageLocation", "title": "bronze-orders-prefix", "vector": {"bronze": 0.520756, "orders": 0.520756, "prefix": 0.390567, "path": 0.260378, "storage": 0.260378, "abfss": 0.130189, "dekc": 0.130189, "delta": 0.130189, "format": 0.130189, "kind": 0.130189, "lake": 0.130189, "onelake": 0.130189, "retail": 0.130189, "storagelocation": 0.130189, "uri": 0.130189}}
-{"path": "streams/orders-events.md", "type": "Stream", "title": "orders-events", "vector": {"events": 0.452911, "orders": 0.452911, "eventhubs": 0.339683, "stream": 0.339683, "bronze": 0.226455, "order": 0.226455, "placement": 0.226455, "as": 0.113228, "dekc": 0.113228, "endpoints": 0.113228, "flowchart": 0.113228, "format": 0.113228, "json": 0.113228, "landing": 0.113228, "lands": 0.113228, "lr": 0.113228, "md": 0.113228, "mermaid": 0.113228, "platform": 0.113228, "producers": 0.113228, "raw": 0.113228, "tables": 0.113228, "uri": 0.113228}}
-{"path": "tables/bronze-orders-api.md", "type": "Table", "title": "orders_api", "vector": {"bronze": 0.392232, "by": 0.392232, "orders_api": 0.392232, "orders_raw": 0.392232, "referenced": 0.392232, "table": 0.392232, "dekc": 0.196116, "layer": 0.196116}}
-{"path": "tables/bronze-orders-raw.md", "type": "Table", "title": "orders_raw", "vector": {"bronze": 0.481125, "orders_raw": 0.481125, "table": 0.481125, "sql": 0.3849, "inferred": 0.19245, "sales": 0.19245, "as": 0.096225, "create": 0.096225, "dekc": 0.096225, "landing": 0.096225, "layer": 0.096225, "or": 0.096225, "orders_api": 0.096225, "replace": 0.096225, "select": 0.096225}}
-{"path": "tables/gold-order-daily.md", "type": "Table", "title": "order_daily", "vector": {"as": 0.416667, "gold": 0.416667, "order_daily": 0.416667, "table": 0.416667, "sql": 0.333333, "inferred": 0.166667, "marts": 0.166667, "by": 0.083333, "cast": 0.083333, "count": 0.083333, "create": 0.083333, "currency": 0.083333, "date": 0.083333, "dekc": 0.083333, "gross_amount": 0.083333, "gross_revenue": 0.083333, "group": 0.083333, "layer": 0.083333, "or": 0.083333, "order_count": 0.083333, "order_date": 0.083333, "order_ts": 0.083333, "orders": 0.083333, "replace": 0.083333, "select": 0.083333, "silver": 0.083333, "sum": 0.083333}}
-{"path": "tables/silver-orders.md", "type": "Table", "title": "orders", "vector": {"orders": 0.466252, "silver": 0.466252, "table": 0.466252, "sql": 0.373002, "inferred": 0.186501, "sales": 0.186501, "as": 0.09325, "bronze": 0.09325, "create": 0.09325, "currency": 0.09325, "customer_id": 0.09325, "dekc": 0.09325, "gross_amount": 0.09325, "is": 0.09325, "layer": 0.09325, "or": 0.09325, "order_id": 0.09325, "order_ts": 0.09325, "orders_raw": 0.09325, "replace": 0.09325, "select": 0.09325, "where": 0.09325}}
-{"path": "transformations/aggregate-order-daily.md", "type": "Transformation", "title": "aggregate-order-daily", "vector": {"daily": 0.549442, "aggregate": 0.274721, "aggregation": 0.274721, "gold": 0.274721, "grain": 0.274721, "order": 0.274721, "reporting": 0.274721, "revenue": 0.274721, "silver": 0.274721, "transformation": 0.274721, "dekc": 0.137361}}
-{"path": "transformations/cleanse-orders.md", "type": "Transformation", "title": "cleanse-orders", "vector": {"cleanse": 0.508001, "bronze": 0.381, "coercion": 0.254, "commerce": 0.254, "drop": 0.254, "order": 0.254, "orders": 0.254, "silver": 0.254, "sql": 0.254, "transformation": 0.254, "dekc": 0.127, "is": 0.127, "orders_raw": 0.127, "select": 0.127, "where": 0.127}}
-{"path": "views/gold-customer-ltv.md", "type": "View", "title": "customer_ltv", "vector": {"view": 0.46188, "orders": 0.34641, "silver": 0.34641, "customer": 0.23094, "customer_id": 0.23094, "customer_ltv": 0.23094, "lifetime": 0.23094, "per": 0.23094, "sql": 0.23094, "value": 0.23094, "by": 0.11547, "count": 0.11547, "dekc": 0.11547, "gold": 0.11547, "gross_amount": 0.11547, "group": 0.11547, "lifetime_value": 0.11547, "md": 0.11547, "order_count": 0.11547, "reads": 0.11547, "select": 0.11547, "sum": 0.11547, "tables": 0.11547}}
-{"path": "wireframes/wireframe-executive-revenue-wireframe.md", "type": "Wireframe", "title": "Executive Revenue Wireframe", "vector": {"revenue": 0.492366, "wireframe": 0.492366, "plantuml": 0.369274, "executive": 0.307729, "salt": 0.246183, "dashboard": 0.184637, "diagram": 0.123091, "exec": 0.123091, "language": 0.123091, "142": 0.061546, "2m": 0.061546, "30": 0.061546, "420": 0.061546, "_edit": 0.061546, "above": 0.061546, "aov": 0.061546, "area": 0.061546, "as": 0.061546, "by": 0.061546, "chart": 0.061546, "currency": 0.061546, "dashboards": 0.061546, "day": 0.061546, "days": 0.061546, "dekc": 0.061546, "enduml": 0.061546, "export": 0.061546, "fenced": 0.061546, "gmv": 0.061546, "include": 0.061546, "keep": 0.061546, "kind": 0.061546, "last": 0.061546, "listing": 0.061546, "md": 0.061546, "mermaid": 0.061546, "notes": 0.061546, "or": 0.061546, "orders": 0.061546, "period": 0.061546, "products": 0.061546, "refresh": 0.061546, "startuml": 0.061546, "subjects": 0.061546, "table": 0.061546, "tag": 0.061546, "top": 0.061546}}
-{"path": "workflows/daily-medallion-orders.md", "type": "Workflow", "title": "daily-medallion-orders", "vector": {"orders": 0.512989, "bronze": 0.307794, "gold": 0.307794, "silver": 0.307794, "airflow": 0.205196, "daily": 0.205196, "medallion": 0.205196, "nightly": 0.205196, "pipeline": 0.205196, "to": 0.205196, "workflow": 0.205196, "aggregate": 0.102598, "api": 0.102598, "bi": 0.102598, "cleanse": 0.102598, "commerce": 0.102598, "dekc": 0.102598, "land": 0.102598, "model": 0.102598, "orchestrator": 0.102598, "order_daily": 0.102598, "orders_raw": 0.102598, "power": 0.102598, "refresh": 0.102598, "semantic": 0.102598, "steps": 0.102598}}
diff --git a/sample-knowledge/.index/graph.json b/sample-knowledge/.index/graph.json
deleted file mode 100644
index 21cc91e..0000000
--- a/sample-knowledge/.index/graph.json
+++ /dev/null
@@ -1,76 +0,0 @@
-{
-  "/views/gold-customer-ltv.md": [
-    "/business-objects/customer-lifetime-value.md",
-    "/reports/weekly-commerce-digest.md"
-  ],
-  "/tables/silver-orders.md": [
-    "/business-objects/customer-order.md",
-    "/tables/gold-order-daily.md",
-    "/queries/customer-ltv.md",
-    "/views/gold-customer-ltv.md",
-    "/queries/order-daily.md",
-    "/transformations/aggregate-order-daily.md"
-  ],
-  "/tables/gold-order-daily.md": [
-    "/business-objects/daily-order-summary.md",
-    "/dashboards/executive-revenue.md",
-    "/queries/total-revenue-dax.md",
-    "/reports/weekly-commerce-digest.md"
-  ],
-  "/metrics/gross-merchandise-value.md": [
-    "/dashboards/executive-revenue.md"
-  ],
-  "/metrics/order-count.md": [
-    "/dashboards/executive-revenue.md"
-  ],
-  "/ingestion/orders-stream-landing.md": [
-    "/layers/bronze.md",
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-    "/tables/gold-order-daily.md",
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-  "/transformations/aggregate-order-daily.md": [
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-  "/layers/bronze.md": [
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-  "/transformations/cleanse-orders.md": [
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-    "/layers/bronze.md",
-    "/tables/silver-orders.md"
-  ]
-}
\ No newline at end of file
diff --git a/sample-knowledge/.index/inventory.json b/sample-knowledge/.index/inventory.json
deleted file mode 100644
index 72d0b04..0000000
--- a/sample-knowledge/.index/inventory.json
+++ /dev/null
@@ -1,1408 +0,0 @@
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\ No newline at end of file
diff --git a/sample-knowledge/.index/manifest.json b/sample-knowledge/.index/manifest.json
deleted file mode 100644
index 2624fef..0000000
--- a/sample-knowledge/.index/manifest.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "built_at": "2026-08-13T19:46:37Z",
-  "concept_count": 83,
-  "token_count": 424,
-  "edge_count": 40,
-  "bundle": "/workspace/repos/data-engineering-knowledge-capture/sample-knowledge",
-  "engine": "dekc-local-bow-v1",
-  "files": [
-    ".index/inventory.json",
-    ".index/search.json",
-    ".index/graph.json",
-    ".index/embeddings.jsonl"
-  ]
-}
\ No newline at end of file
diff --git a/sample-knowledge/.index/search.json b/sample-knowledge/.index/search.json
deleted file mode 100644
index eb834a5..0000000
--- a/sample-knowledge/.index/search.json
+++ /dev/null
@@ -1,2545 +0,0 @@
-{
-  "14": [
-    "agents/walk-retail-lake-walk.md"
-  ],
-  "142": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "15": [
-    "ingestion/orders-stream-landing.md"
-  ],
-  "2m": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "30": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "420": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "_edit": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md",
-    "diagrams/architecture-commerce-lake-architecture.md",
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md",
-    "diagrams/erd-orders-erd.md",
-    "diagrams/sequence-orders-stream-landing-sequence.md",
-    "diagrams/state-daily-medallion-orders-state.md",
-    "diagrams/state-orders-stream-landing-state.md",
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "abfss": [
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-    "storage/bronze-orders-prefix.md"
-  ],
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-    "diagrams/activity-orders-stream-landing-activity.md",
-    "diagrams/architecture-commerce-lake-architecture.md",
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md",
-    "diagrams/erd-orders-erd.md",
-    "diagrams/sequence-orders-stream-landing-sequence.md",
-    "diagrams/state-daily-medallion-orders-state.md",
-    "diagrams/state-orders-stream-landing-state.md",
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-    "diagrams/activity-orders-stream-landing-activity.md"
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-  "adf": [
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-  "after": [
-    "business-objects/customer-order.md",
-    "glossary/customer-order.md"
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-  "agent": [
-    "agents/walk-retail-lake-walk.md"
-  ],
-  "agentnode": [
-    "agents/walk-retail-lake-walk.md"
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-    "queries/daily-medallion.md",
-    "sql/daily-medallion.md",
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-    "workflows/daily-medallion-orders.md"
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-  "aggregates": [
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-  "aggregation": [
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-  ],
-  "airflow": [
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-    "diagrams/activity-orders-stream-landing-activity.md"
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-    "business-objects/daily-order-summary.md",
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-    "sources/retail-lake.md"
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-    "wireframes/wireframe-executive-revenue-wireframe.md"
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-    "sql/daily-medallion.md",
-    "workflows/daily-medallion-orders.md"
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-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md",
-    "diagrams/erd-orders-erd.md",
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-    "diagrams/state-daily-medallion-orders-state.md",
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-    "queries/orders-raw.md",
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-    "sql/customer-ltv.md",
-    "sql/order-daily.md",
-    "sql/orders-raw.md",
-    "sql/orders.md",
-    "streams/orders-events.md",
-    "tables/bronze-orders-raw.md",
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-    "tables/silver-orders.md",
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-    "glossary/customer-order.md",
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-    "layers/gold.md",
-    "layers/silver.md",
-    "marts/revenue-mart.md",
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-    "sources/retail-lake-walk.md",
-    "sources/retail-lake.md"
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-    "columns/gold-order-daily-order-date.md",
-    "diagrams/erd-orders-erd.md",
-    "packs/pack-gold-order-daily.md",
-    "queries/order-daily.md",
-    "sql/order-daily.md",
-    "tables/gold-order-daily.md"
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-    "dax/total-revenue.md",
-    "queries/total-revenue-dax.md",
-    "queries/total-revenue.md"
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-    "dax/total-revenue.md"
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-    "wireframes/wireframe-executive-revenue-wireframe.md"
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-    "columns/gold-order-daily-gross-revenue.md",
-    "columns/silver-orders-gross-amount.md"
-  ],
-  "definition": [
-    "business-objects/customer-lifetime-value.md",
-    "business-objects/customer-order.md",
-    "business-objects/daily-order-summary.md",
-    "glossary/customer-lifetime-value.md",
-    "glossary/customer-order.md",
-    "glossary/daily-order-summary.md",
-    "glossary/gmv.md",
-    "metrics/gross-merchandise-value.md",
-    "metrics/order-count.md"
-  ],
-  "dekc": [
-    "agents/walk-retail-lake-walk.md",
-    "business-objects/customer-lifetime-value.md",
-    "business-objects/customer-order.md",
-    "business-objects/daily-order-summary.md",
-    "catalogs/retail-unity-style-catalog.md",
-    "columns/bronze-orders-raw-currency.md",
-    "columns/bronze-orders-raw-customer-id.md",
-    "columns/bronze-orders-raw-gross-amount.md",
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-    "semantic/retail-commerce-model.md",
-    "streams/orders-events.md",
-    "views/gold-customer-ltv.md"
-  ],
-  "tag": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md",
-    "diagrams/architecture-commerce-lake-architecture.md",
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md",
-    "diagrams/erd-orders-erd.md",
-    "diagrams/sequence-orders-stream-landing-sequence.md",
-    "diagrams/state-daily-medallion-orders-state.md",
-    "diagrams/state-orders-stream-landing-state.md",
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "target": [
-    "ingestion/orders-stream-landing.md",
-    "ingestion/product-catalog-sftp-load.md",
-    "quality/gold-order-daily-freshness.md"
-  ],
-  "task": [
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md"
-  ],
-  "tb": [
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md"
-  ],
-  "td": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md"
-  ],
-  "technical": [
-    "business-objects/customer-lifetime-value.md",
-    "business-objects/customer-order.md",
-    "business-objects/daily-order-summary.md",
-    "semantic/retail-commerce-model.md"
-  ],
-  "tests": [
-    "agents/walk-retail-lake-walk.md",
-    "sources/retail-lake-walk.md"
-  ],
-  "timestamp": [
-    "columns/bronze-orders-raw-order-ts.md",
-    "columns/silver-orders-order-ts.md"
-  ],
-  "to": [
-    "domains/commerce.md",
-    "ingestion/orders-stream-landing.md",
-    "ingestion/product-catalog-sftp-load.md",
-    "lineage/orders-to-revenue.md",
-    "semantic/retail-commerce-model.md",
-    "workflows/daily-medallion-orders.md"
-  ],
-  "tool": [
-    "dashboards/executive-revenue.md"
-  ],
-  "tools": [
-    "semantic/retail-commerce-model.md"
-  ],
-  "top": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "total": [
-    "dax/total-revenue-dax.md",
-    "dax/total-revenue.md",
-    "glossary/gmv.md",
-    "queries/total-revenue-dax.md",
-    "queries/total-revenue.md"
-  ],
-  "total_revenue": [
-    "dax/total-revenue.md",
-    "queries/total-revenue.md"
-  ],
-  "transaction": [
-    "business-objects/customer-order.md",
-    "glossary/customer-order.md",
-    "metrics/gross-merchandise-value.md"
-  ],
-  "transform": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md"
-  ],
-  "transformation": [
-    "transformations/aggregate-order-daily.md",
-    "transformations/cleanse-orders.md"
-  ],
-  "trends": [
-    "dashboards/executive-revenue.md",
-    "reports/weekly-commerce-digest.md"
-  ],
-  "trigger": [
-    "diagrams/state-daily-medallion-orders-state.md",
-    "diagrams/state-orders-stream-landing-state.md"
-  ],
-  "typically": [
-    "marts/revenue-mart.md"
-  ],
-  "unity": [
-    "catalogs/retail-unity-style-catalog.md"
-  ],
-  "update": [
-    "ingestion/orders-stream-landing.md"
-  ],
-  "updated": [
-    "agents/walk-retail-lake-walk.md"
-  ],
-  "uri": [
-    "catalogs/retail-unity-style-catalog.md",
-    "lakes/retail-commerce-lake.md",
-    "sources/product-catalog-sftp.md",
-    "sources/retail-lake-walk.md",
-    "sources/retail-lake.md",
-    "storage/bronze-orders-prefix.md",
-    "streams/orders-events.md"
-  ],
-  "used": [
-    "business-objects/daily-order-summary.md",
-    "glossary/daily-order-summary.md"
-  ],
-  "utc": [
-    "columns/bronze-orders-raw-order-ts.md"
-  ],
-  "v2": [
-    "diagrams/state-daily-medallion-orders-state.md",
-    "diagrams/state-orders-stream-landing-state.md"
-  ],
-  "validate": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md",
-    "diagrams/sequence-orders-stream-landing-sequence.md"
-  ],
-  "validates": [
-    "diagrams/class-daily-medallion-orders-class.md"
-  ],
-  "value": [
-    "business-objects/customer-lifetime-value.md",
-    "business-objects/daily-order-summary.md",
-    "columns/bronze-orders-raw-gross-amount.md",
-    "glossary/customer-lifetime-value.md",
-    "glossary/daily-order-summary.md",
-    "glossary/gmv.md",
-    "metrics/gross-merchandise-value.md",
-    "packs/pack-gold-order-daily.md",
-    "views/gold-customer-ltv.md"
-  ],
-  "via": [
-    "sources/product-catalog-sftp.md"
-  ],
-  "view": [
-    "packs/pack-gold-order-daily.md",
-    "queries/customer-ltv.md",
-    "sql/customer-ltv.md",
-    "views/gold-customer-ltv.md"
-  ],
-  "views": [
-    "business-objects/customer-lifetime-value.md",
-    "packs/pack-gold-order-daily.md",
-    "schemas/bronze.md",
-    "schemas/gold.md",
-    "schemas/silver.md"
-  ],
-  "volume": [
-    "business-objects/daily-order-summary.md",
-    "glossary/daily-order-summary.md",
-    "glossary/gmv.md"
-  ],
-  "walk": [
-    "agents/walk-retail-lake-walk.md",
-    "sources/retail-lake-walk.md"
-  ],
-  "walked": [
-    "sources/retail-lake-walk.md"
-  ],
-  "watermark": [
-    "ingestion/orders-stream-landing.md"
-  ],
-  "weekly": [
-    "reports/weekly-commerce-digest.md"
-  ],
-  "wf": [
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md"
-  ],
-  "where": [
-    "queries/orders.md",
-    "sql/orders.md",
-    "tables/silver-orders.md",
-    "transformations/cleanse-orders.md"
-  ],
-  "wireframe": [
-    "wireframes/wireframe-executive-revenue-wireframe.md"
-  ],
-  "within": [
-    "quality/gold-order-daily-freshness.md"
-  ],
-  "workflow": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/component-orders-stream-landing-component.md",
-    "diagrams/state-daily-medallion-orders-state.md",
-    "workflows/daily-medallion-orders.md"
-  ],
-  "workflows": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/class-daily-medallion-orders-class.md",
-    "diagrams/component-daily-medallion-orders-component.md",
-    "diagrams/state-daily-medallion-orders-state.md",
-    "queries/daily-medallion.md",
-    "sql/daily-medallion.md"
-  ],
-  "workspace": [
-    "agents/walk-retail-lake-walk.md",
-    "catalogs/retail-unity-style-catalog.md",
-    "sources/retail-lake-walk.md"
-  ],
-  "write": [
-    "diagrams/sequence-orders-stream-landing-sequence.md",
-    "ingestion/orders-stream-landing.md"
-  ],
-  "yes": [
-    "diagrams/activity-daily-medallion-orders-activity.md",
-    "diagrams/activity-orders-stream-landing-activity.md"
-  ],
-  "zone": [
-    "layers/bronze.md",
-    "layers/gold.md",
-    "layers/silver.md"
-  ]
-}
\ No newline at end of file
diff --git a/scripts/dekc_brain.py b/scripts/dekc_brain.py
index 7322002..f8fc418 100644
--- a/scripts/dekc_brain.py
+++ b/scripts/dekc_brain.py
@@ -25,7 +25,7 @@
     utc_now,
     write_knowledge,
 )
-from dekc_index import build_index, search_index  # noqa: E402
+from dekc_index import refresh, search_index  # noqa: E402
 from dekc_lineage import build_graph, mermaid  # noqa: E402
 from dekc_pack import pack as graph_pack  # noqa: E402
 
@@ -165,8 +165,7 @@ def load_registry_intents() -> dict:
 
 
 def ensure_index(bundle: Path) -> None:
-    if not (bundle / ".index" / "search.json").is_file():
-        build_index(bundle)
+    refresh(bundle)
 
 
 def tokenize(q: str) -> list[str]:
diff --git a/scripts/dekc_common.py b/scripts/dekc_common.py
index e9940e4..3fa564c 100755
--- a/scripts/dekc_common.py
+++ b/scripts/dekc_common.py
@@ -16,6 +16,8 @@
 import os
 import re
 import secrets
+import shutil
+import subprocess
 import sys
 from datetime import datetime, timezone
 from pathlib import Path
@@ -1166,6 +1168,159 @@ def ensure_bundle(bundle: Path, title: str = "Data Engineering Knowledge") -> No
         append_log(bundle, "Bundle created for Data Engineering Knowledge Capture")
 
 
+# ── ripgrep accelerator (optional; never a dependency) ──────────────────
+
+RG_ENV_VARS = ("DEKC_RG_PATH", "PKC_RG_PATH", "OKF_RG_PATH", "SECOND_BRAIN_RG_PATH")
+
+RG_INSTALL_HINTS = {
+    "darwin": ["brew install ripgrep"],
+    "linux": [
+        "sudo apt-get install -y ripgrep",
+        "sudo dnf install -y ripgrep",
+        "cargo install ripgrep",
+    ],
+    "win32": ["winget install BurntSushi.ripgrep.MSVC"],
+}
+
+RG_DEFAULT_GLOBS = ["*.md", "!**/packs/**"]
+
+
+def find_rg(*, env_vars: tuple[str, ...] = RG_ENV_VARS) -> str | None:
+    """Return an rg binary path, or None. Override with DEKC_RG_PATH / OKF_RG_PATH."""
+    for var in env_vars:
+        override = (os.environ.get(var) or "").strip()
+        if not override:
+            continue
+        p = Path(override)
+        if p.is_file() and os.access(p, os.X_OK):
+            return str(p.resolve())
+        found = shutil.which(override)
+        if found:
+            return found
+    return shutil.which("rg")
+
+
+def rg_install_hints() -> list[str]:
+    if sys.platform == "darwin":
+        return list(RG_INSTALL_HINTS["darwin"])
+    if sys.platform.startswith("linux"):
+        return list(RG_INSTALL_HINTS["linux"])
+    if sys.platform == "win32":
+        return list(RG_INSTALL_HINTS["win32"])
+    return ["cargo install ripgrep"]
+
+
+def toolchain_report() -> dict[str, Any]:
+    """Doctor payload: python, rg, sqlite FTS5. Zero pip deps."""
+    rg = find_rg()
+    fts5 = False
+    sqlite_version = None
+    try:
+        import sqlite3
+
+        sqlite_version = sqlite3.sqlite_version
+        con = sqlite3.connect(":memory:")
+        opts = [row[0] for row in con.execute("pragma compile_options")]
+        fts5 = any("FTS5" in opt.upper() for opt in opts)
+        con.close()
+    except Exception:
+        pass
+    return {
+        "python": sys.version.split()[0],
+        "rg": {
+            "found": bool(rg),
+            "path": rg,
+            "hints": rg_install_hints(),
+        },
+        "sqlite": {"version": sqlite_version, "fts5": fts5},
+    }
+
+
+def is_concept_path(bundle: Path, path: Path) -> bool:
+    """Same skip rules as iter_concept_paths: not index.md, log.md, packs/, or cache dirs."""
+    if path.suffix.lower() not in {".md", ".markdown"}:
+        return False
+    if path.name in {"index.md", "log.md"}:
+        return False
+    try:
+        parts = path.resolve().relative_to(bundle.resolve()).parts
+    except ValueError:
+        return False
+    if any(part in {".index", ".dekc", ".pkc", "packs"} for part in parts):
+        return False
+    return True
+
+
+def iter_concept_paths(bundle: Path) -> list[Path]:
+    """Markdown concept files. Skips catalogs (index.md), logs, packs, disposable caches."""
+    files: list[Path] = []
+    skip_names = {"index.md", "log.md"}
+    skip_dirs = {".index", ".dekc", ".pkc", "packs"}
+    for p in sorted(bundle.rglob("*.md")):
+        if p.name in skip_names or p.name.startswith("."):
+            continue
+        if any(part in skip_dirs for part in p.parts):
+            continue
+        files.append(p)
+    return files
+
+
+def rg_list_files(
+    root: Path,
+    patterns: list[str],
+    *,
+    fixed_string: bool = False,
+    ignore_case: bool = True,
+    globs: list[str] | None = None,
+    timeout: float = 30.0,
+) -> list[Path] | None:
+    """AND-intersect `rg -l` results.
+
+    Returns None when rg is missing or the process fails (caller must full-scan).
+    Returns [] when rg ran and matched nothing — that is a real empty hit set,
+    not a fallback.
+    """
+    rg = find_rg()
+    if not rg:
+        return None
+    terms = [p for p in patterns if p]
+    if not terms:
+        return None
+    root = root.resolve()
+    use_globs = list(RG_DEFAULT_GLOBS if globs is None else globs)
+    matched: set[Path] | None = None
+    for pat in terms:
+        cmd = [rg, "-l", "--no-messages", "--color", "never"]
+        if ignore_case:
+            cmd.append("-i")
+        if fixed_string:
+            cmd.append("-F")
+        for g in use_globs:
+            cmd.extend(["--glob", g])
+        cmd.extend(["--", pat, str(root)])
+        try:
+            proc = subprocess.run(
+                cmd, capture_output=True, text=True, timeout=timeout, check=False
+            )
+        except (OSError, subprocess.TimeoutExpired):
+            return None
+        # 0 = hits, 1 = no matches, anything else = rg error → fall back
+        if proc.returncode not in (0, 1):
+            return None
+        files: set[Path] = set()
+        for line in proc.stdout.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+            p = Path(line)
+            p = p.resolve() if p.is_absolute() else (root / p).resolve()
+            files.add(p)
+        matched = files if matched is None else (matched & files)
+        if not matched:
+            return []
+    return sorted(matched or [])
+
+
 def list_concepts(
     bundle: Path,
     *,
@@ -1183,7 +1338,7 @@ def list_concepts(
         rel = path.relative_to(bundle).as_posix()
         if rel == "index.md":
             continue
-        if ".index" in path.parts:
+        if any(part in {".index", ".dekc", ".pkc"} for part in path.parts):
             continue
         if prefix_list and not any(rel.startswith(p) for p in prefix_list):
             continue
diff --git a/scripts/dekc_doctor.py b/scripts/dekc_doctor.py
index c8490ee..bcb8069 100755
--- a/scripts/dekc_doctor.py
+++ b/scripts/dekc_doctor.py
@@ -10,45 +10,17 @@
 from pathlib import Path
 
 sys.path.insert(0, str(Path(__file__).resolve().parent))
-from dekc_common import DEKC_OWNED_TYPES, list_concepts, resolve_knowledge_root  # noqa: E402
+from dekc_common import DEKC_OWNED_TYPES, list_concepts, resolve_knowledge_root, toolchain_report  # noqa: E402
 from dekc_validate import validate_bundle  # noqa: E402
 from dekc_lineage import build_graph  # noqa: E402
+from dekc_index import status as index_status  # noqa: E402
 
 
-def _toolchain() -> dict:
-    import os
-    import shutil
-    import sys
-
-    rg = None
-    for var in ("DEKC_RG_PATH", "PKC_RG_PATH", "OKF_RG_PATH"):
-        override = (os.environ.get(var) or "").strip()
-        if override and Path(override).is_file():
-            rg = override
-            break
-        found = shutil.which(override) if override else None
-        if found:
-            rg = found
-            break
-    if rg is None:
-        rg = shutil.which("rg")
-    fts5 = False
-    sqlite_version = None
-    try:
-        import sqlite3
-
-        sqlite_version = sqlite3.sqlite_version
-        con = sqlite3.connect(":memory:")
-        fts5 = any("FTS5" in row[0].upper() for row in con.execute("pragma compile_options"))
-        con.close()
-    except Exception:
-        pass
-    return {
-        "python": sys.version.split()[0],
-        "rg": {"found": bool(rg), "path": rg},
-        "sqlite": {"version": sqlite_version, "fts5": fts5},
-        "index": "dekc already builds knowledge/.index (inventory + inverted tokens)",
-    }
+def _toolchain(bundle: Path) -> dict:
+    report = toolchain_report()
+    idx = index_status(bundle)
+    report["index"] = idx
+    return report
 
 
 def doctor(
@@ -79,7 +51,9 @@ def doctor(
     gloss = types_c.get("GlossaryTerm", 0)
     tables = types_c.get("Table", 0) + types_c.get("View", 0)
     coverage = round(bo_count / tables, 2) if tables else 0.0
-    index_ok = (bundle / ".index" / "manifest.json").is_file()
+    toolchain = _toolchain(bundle)
+    idx = toolchain.get("index") or {}
+    index_ok = bool(idx.get("present"))
 
     return {
         "bundle": str(bundle),
@@ -92,10 +66,11 @@ def doctor(
         "business_objects": bo_count,
         "glossary_terms": gloss,
         "index_built": index_ok,
+        "index": idx,
         "validation_ok": validation["ok"],
         "errors": validation["errors"][:10],
         "warnings": validation["warnings"][:10],
-        "toolchain": _toolchain(),
+        "toolchain": toolchain,
     }
 
 
@@ -131,10 +106,12 @@ def main(argv: list[str] | None = None) -> int:
         print(f"  edges:        {report['edge_count']}")
         print(f"  tables→BO:    {report['business_coverage']} ({report['business_objects']} objects)")
         print(f"  glossary:     {report['glossary_terms']}")
-        print(f"  index:        {'yes' if report['index_built'] else 'NO — run dekc_index.py build'}")
+        print(f"  index:        {'yes · ' + str((report.get('index') or {}).get('path')) if report['index_built'] else 'NO — next search/pack will build knowledge/.dekc/index.sqlite'}")
         print(f"  validation:   {'OK' if report['validation_ok'] else 'FAILED'}")
         rg = (report.get("toolchain") or {}).get("rg") or {}
-        print(f"  rg:           {'found ' + str(rg.get('path')) if rg.get('found') else 'missing (index is the search path; rg is optional)'}")
+        sqlite = (report.get("toolchain") or {}).get("sqlite") or {}
+        print(f"  rg:           {'found ' + str(rg.get('path')) if rg.get('found') else 'missing (optional; install ripgrep or pass --no-rg)'}")
+        print(f"  sqlite FTS5:  {'yes' if sqlite.get('fts5') else 'no'}")
         print("  types:")
         for t, n in sorted(report["types"].items(), key=lambda kv: -kv[1]):
             print(f"    {t:20} {n}")
diff --git a/scripts/dekc_index.py b/scripts/dekc_index.py
index 7c4d9b6..4d873a7 100755
--- a/scripts/dekc_index.py
+++ b/scripts/dekc_index.py
@@ -1,201 +1,669 @@
 #!/usr/bin/env python3
-"""Build a local indexed second-brain over the DEKC OKF bundle.
+"""Stdlib SQLite + FTS5 incremental index for a DEKC bundle.
 
-Produces:
-  knowledge/.index/inventory.json  — all concepts
-  knowledge/.index/search.json     — inverted token index
-  knowledge/.index/graph.json      — adjacency for lineage packs
-  knowledge/.index/embeddings.jsonl — bag-of-tokens pseudo-vectors (no API key required)
-  knowledge/.index/manifest.json   — build metadata
+Git + Markdown stays the source of truth. `knowledge/.dekc/index.sqlite` is a
+disposable accelerator: delete it and the next reader rebuilds. Every reader
+self-heals via mtime+size rather than trusting a hook.
 
-Optional: if OPENAI_API_KEY or XAI_API_KEY is set and --embed-api is passed,
-writes richer embeddings (not required for default operation).
+Do not copy the old JSON `.index/` (inventory + inverted tokens). That was a
+full rebuild plus a JSON parse, and it got committed by accident.
+
+Ladder (one behavior, three tiers):
+
+    index present  →  use it
+    else rg on PATH  →  prefilter
+    else             →  pure Python scan
+
+FTS5 MATCH is the `--engine fts` opt-in. Default candidate selection is
+SQL LIKE on a stored haystack so ranking stays identical to a full scan
+(Python still scores).
+
+Usage:
+  python3 scripts/dekc_index.py status --bundle sample-knowledge
+  python3 scripts/dekc_index.py refresh --bundle sample-knowledge
+  python3 scripts/dekc_index.py drop --bundle sample-knowledge
+  python3 scripts/dekc_index.py build --bundle sample-knowledge   # alias: refresh --force
 """
 
 from __future__ import annotations
 
 import argparse
-import hashlib
 import json
-import math
+import os
 import re
+import sqlite3
 import sys
-from collections import defaultdict
-from datetime import datetime, timezone
+import time
+from dataclasses import dataclass
 from pathlib import Path
 from typing import Any
 
 sys.path.insert(0, str(Path(__file__).resolve().parent))
-from dekc_common import list_concepts, resolve_knowledge_root  # noqa: E402
-from dekc_lineage import FORWARD_FLOW, REVERSE_FLOW, build_graph  # noqa: E402
-
-TOKEN_RE = re.compile(r"[a-z0-9_]{2,}", re.I)
-STOP = {
-    "the",
-    "and",
-    "for",
-    "with",
-    "from",
-    "this",
-    "that",
-    "are",
-    "was",
-    "were",
-    "have",
-    "has",
-    "not",
-    "but",
-    "you",
-    "all",
-    "can",
-    "into",
-    "type",
-    "title",
-    "description",
-    "tags",
-    "status",
-    "true",
-    "false",
-    "null",
-    "markdown",
-    "none",
-}
-
-
-def tokenize(text: str) -> list[str]:
-    return [t.lower() for t in TOKEN_RE.findall(text) if t.lower() not in STOP]
+from dekc_common import (  # noqa: E402
+    iter_concept_paths,
+    iter_typed_edges,
+    parse_frontmatter,
+    resolve_knowledge_root,
+    toolchain_report,
+)
+from dekc_lineage import (  # noqa: E402
+    FORWARD_FLOW,
+    REVERSE_FLOW,
+    extract_edges_from_sql,
+    _resolve_name,
+)
 
+SCHEMA_VERSION = 1
+INDEX_NAME = "index.sqlite"
+LINEAGE_RELS = frozenset(FORWARD_FLOW + REVERSE_FLOW) | {"sql_from"}
 
-def build_index(bundle: Path) -> dict[str, Any]:
-    index_dir = bundle / ".index"
-    index_dir.mkdir(parents=True, exist_ok=True)
-
-    inventory: list[dict[str, Any]] = []
-    inverted: dict[str, list[str]] = defaultdict(list)
-    emb_lines: list[str] = []
-
-    for path, fm, body in list_concepts(bundle):
-        rel = path.relative_to(bundle).as_posix()
-        text = f"{fm.get('title','')} {fm.get('description','')} {fm.get('type','')} {' '.join(fm.get('tags') or [])} {body}"
-        tokens = tokenize(text)
-        # term frequencies
-        tf: dict[str, int] = defaultdict(int)
-        for t in tokens:
-            tf[t] += 1
-        # L2-normalized sparse bag as pseudo embedding (deterministic, local)
-        norm = math.sqrt(sum(v * v for v in tf.values())) or 1.0
-        sparse = {k: round(v / norm, 6) for k, v in sorted(tf.items()) if v > 0}
-        # keep top 64 dims by weight
-        sparse = dict(sorted(sparse.items(), key=lambda kv: -kv[1])[:64])
-
-        entry = {
-            "path": rel,
-            "type": fm.get("type"),
-            "title": fm.get("title") or path.stem,
-            "description": fm.get("description") or "",
-            "layer": fm.get("layer"),
-            "tags": fm.get("tags") or [],
-            "verified": bool(fm.get("verified")),
-            "status": fm.get("status"),
-            "wiki_key": fm.get("wiki_key"),
-            "token_count": len(tokens),
-            "hash": hashlib.sha256(text.encode()).hexdigest()[:16],
+
+@dataclass
+class NodeRow:
+    path: str
+    type: str
+    title: str
+    description: str
+    status: str
+    tags: str
+    layer: str
+    mtime: int
+    size: int
+    fm_json: str
+    body: str
+    hay: str
+
+    def frontmatter(self) -> dict[str, Any]:
+        try:
+            data = json.loads(self.fm_json)
+        except json.JSONDecodeError:
+            return {}
+        return data if isinstance(data, dict) else {}
+
+
+@dataclass
+class RefreshStats:
+    ok: bool
+    path: str
+    nodes: int = 0
+    edges: int = 0
+    parsed: int = 0
+    unchanged: int = 0
+    deleted: int = 0
+    rebuilt: bool = False
+    ms: float = 0.0
+    error: str = ""
+
+    def as_dict(self) -> dict[str, Any]:
+        return {
+            "ok": self.ok,
+            "path": self.path,
+            "nodes": self.nodes,
+            "edges": self.edges,
+            "parsed": self.parsed,
+            "unchanged": self.unchanged,
+            "deleted": self.deleted,
+            "rebuilt": self.rebuilt,
+            "ms": round(self.ms, 2),
+            "error": self.error,
         }
-        inventory.append(entry)
-        for tok in set(tokens):
-            inverted[tok].append(rel)
-        emb_lines.append(
-            json.dumps({"path": rel, "type": entry["type"], "title": entry["title"], "vector": sparse})
-        )
 
-    graph = build_graph(bundle)
 
-    (index_dir / "inventory.json").write_text(json.dumps(inventory, indent=2), encoding="utf-8")
-    (index_dir / "search.json").write_text(
-        json.dumps({k: v for k, v in sorted(inverted.items())}, indent=2), encoding="utf-8"
+def fts5_available() -> bool:
+    report = toolchain_report()
+    sqlite = report.get("sqlite") or {}
+    return bool(sqlite.get("fts5"))
+
+
+def index_enabled() -> bool:
+    """DEKC_NO_INDEX=1 disables the index for the process (tests, --no-index)."""
+    flag = os.environ.get("DEKC_NO_INDEX", "").strip().lower()
+    if flag in {"1", "true", "yes", "on"}:
+        return False
+    return fts5_available()
+
+
+def index_path(bundle: Path) -> Path:
+    override = os.environ.get("DEKC_INDEX_PATH", "").strip()
+    if override:
+        return Path(override)
+    return bundle / ".dekc" / INDEX_NAME
+
+
+def _connect(path: Path, *, create: bool) -> sqlite3.Connection | None:
+    if not fts5_available():
+        return None
+    if not create and not path.is_file():
+        return None
+    path.parent.mkdir(parents=True, exist_ok=True)
+    con = sqlite3.connect(str(path), timeout=5.0)
+    con.row_factory = sqlite3.Row
+    con.execute("PRAGMA journal_mode=WAL")
+    con.execute("PRAGMA busy_timeout=5000")
+    con.execute("PRAGMA synchronous=NORMAL")
+    con.execute("PRAGMA foreign_keys=ON")
+    return con
+
+
+def _schema_version(con: sqlite3.Connection) -> int | None:
+    try:
+        row = con.execute(
+            "SELECT value FROM meta WHERE key = 'schema_version'"
+        ).fetchone()
+    except sqlite3.DatabaseError:
+        return None
+    if not row:
+        return None
+    try:
+        return int(row[0])
+    except (TypeError, ValueError):
+        return None
+
+
+def _init_schema(con: sqlite3.Connection) -> None:
+    con.executescript(
+        """
+        CREATE TABLE IF NOT EXISTS meta (
+            key TEXT PRIMARY KEY,
+            value TEXT NOT NULL
+        );
+        CREATE TABLE IF NOT EXISTS nodes (
+            path TEXT PRIMARY KEY,
+            type TEXT,
+            title TEXT,
+            description TEXT,
+            status TEXT,
+            tags TEXT,
+            layer TEXT,
+            mtime INTEGER NOT NULL,
+            size INTEGER NOT NULL,
+            fm_json TEXT NOT NULL,
+            body TEXT NOT NULL,
+            hay TEXT NOT NULL
+        );
+        CREATE TABLE IF NOT EXISTS edges (
+            src TEXT NOT NULL,
+            dst TEXT NOT NULL,
+            rel TEXT NOT NULL,
+            label TEXT,
+            origin TEXT NOT NULL DEFAULT '',
+            PRIMARY KEY (src, dst, rel, origin)
+        );
+        CREATE INDEX IF NOT EXISTS edges_dst ON edges(dst);
+        CREATE INDEX IF NOT EXISTS edges_src ON edges(src);
+        CREATE VIRTUAL TABLE IF NOT EXISTS fts USING fts5(
+            path,
+            title,
+            description,
+            tags,
+            body,
+            tokenize = 'unicode61 remove_diacritics 2'
+        );
+        """
+    )
+    con.execute(
+        "INSERT OR REPLACE INTO meta(key, value) VALUES ('schema_version', ?)",
+        (str(SCHEMA_VERSION),),
     )
-    _edge_count = sum(len(v) for v in graph.values())
-    if _edge_count == 0 and concepts:
-        # An empty lineage graph is indistinguishable from a failed build unless
-        # we say why. graph.json is lineage adjacency, not the general OKF graph,
-        # so a bundle authored with a non-lineage vocabulary legitimately yields
-        # nothing -- but silently writing 0 makes that look broken.
-        print(
-            f"dekc: no lineage relations found across {len(concepts)} concepts; "
-            "graph.json is empty. Lineage edges come from "
-            f"{', '.join(FORWARD_FLOW + REVERSE_FLOW)} — a bundle using a "
-            "non-lineage vocabulary will produce none.",
-            file=sys.stderr,
+    con.commit()
+
+
+def _drop_schema(con: sqlite3.Connection) -> None:
+    con.executescript(
+        """
+        DROP TABLE IF EXISTS fts;
+        DROP TABLE IF EXISTS edges;
+        DROP TABLE IF EXISTS nodes;
+        DROP TABLE IF EXISTS meta;
+        """
+    )
+    con.commit()
+
+
+def _ensure_schema(con: sqlite3.Connection) -> bool:
+    """Return True if the schema was rebuilt from scratch."""
+    version = _schema_version(con)
+    if version == SCHEMA_VERSION:
+        return False
+    _drop_schema(con)
+    _init_schema(con)
+    return True
+
+
+def _sig(path: Path) -> tuple[int, int]:
+    st = path.stat()
+    mtime = getattr(st, "st_mtime_ns", int(st.st_mtime * 1_000_000_000))
+    return int(mtime), int(st.st_size)
+
+
+def _hay(title: str, description: str, tags: str, body: str) -> str:
+    return f"{title}\n{description}\n{tags}\n{body}".lower()
+
+
+def _norm_target(tgt: str) -> str:
+    tgt = str(tgt or "").strip()
+    if not tgt:
+        return ""
+    if not tgt.startswith("/"):
+        tgt = "/" + tgt.lstrip("./")
+    return tgt
+
+
+def extract_dekc_edges(
+    bundle: Path, rel: str, fm: dict[str, Any], body: str
+) -> list[tuple[str, str, str, str]]:
+    """Return (src, dst, rel, label) including SQL lineage edges."""
+    out: list[tuple[str, str, str, str]] = []
+    seen: set[tuple[str, str, str]] = set()
+    for tgt, r in iter_typed_edges(fm):
+        tgt = _norm_target(tgt)
+        if not tgt:
+            continue
+        key = (rel, tgt, str(r))
+        if key in seen:
+            continue
+        seen.add(key)
+        out.append((rel, tgt, str(r), Path(tgt).stem))
+    if "```sql" in body.lower():
+        m = re.search(r"```sql\n(.*?)```", body, re.DOTALL | re.IGNORECASE)
+        if m:
+            for up, down in extract_edges_from_sql(m.group(1)):
+                up_ref = _resolve_name(bundle, up)
+                down_ref = _resolve_name(bundle, down)
+                if not up_ref or not down_ref:
+                    continue
+                key = (up_ref, down_ref, "sql_from")
+                if key in seen:
+                    continue
+                seen.add(key)
+                out.append((up_ref, down_ref, "sql_from", down))
+    return out
+
+
+def _upsert_node(con: sqlite3.Connection, bundle: Path, rel: str, path: Path) -> None:
+    text = path.read_text(encoding="utf-8")
+    fm, body = parse_frontmatter(text)
+    title = str(fm.get("title") or path.stem)
+    description = str(fm.get("description") or "")
+    status = str(fm.get("status") or "")
+    layer = str(fm.get("layer") or "")
+    tags_val = fm.get("tags") or []
+    if isinstance(tags_val, list):
+        tags = " ".join(str(t) for t in tags_val)
+    else:
+        tags = str(tags_val)
+    ctype = str(fm.get("type") or "Unknown")
+    mtime, size = _sig(path)
+    fm_json = json.dumps(fm, default=str, ensure_ascii=False)
+    hay = _hay(title, description, tags, body)
+    con.execute(
+        """
+        INSERT OR REPLACE INTO nodes(
+            path, type, title, description, status, tags, layer,
+            mtime, size, fm_json, body, hay
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (rel, ctype, title, description, status, tags, layer, mtime, size, fm_json, body, hay),
+    )
+    con.execute("DELETE FROM edges WHERE origin = ? OR (origin = '' AND src = ?)", (rel, rel))
+    con.execute("DELETE FROM fts WHERE path = ?", (rel,))
+    edges = extract_dekc_edges(bundle, rel, fm, body)
+    if edges:
+        con.executemany(
+            "INSERT OR IGNORE INTO edges(src, dst, rel, label, origin) VALUES (?, ?, ?, ?, ?)",
+            [(src, dst, r, label, rel) for src, dst, r, label in edges],
+        )
+    con.execute(
+        "INSERT INTO fts(path, title, description, tags, body) VALUES (?, ?, ?, ?, ?)",
+        (rel, title, description, tags, body),
+    )
+
+
+def refresh(bundle: Path, *, force: bool = False) -> RefreshStats | None:
+    """Self-healing incremental refresh. None = index unavailable (no FTS5)."""
+    if not index_enabled() and not force:
+        return None
+    if not fts5_available():
+        return None
+    started = time.perf_counter()
+    path = index_path(bundle)
+    stats = RefreshStats(ok=True, path=str(path))
+    con = _connect(path, create=True)
+    if con is None:
+        stats.ok = False
+        stats.error = "sqlite/fts5 unavailable"
+        return stats
+    try:
+        rebuilt = _ensure_schema(con)
+        if force:
+            _drop_schema(con)
+            _init_schema(con)
+            rebuilt = True
+        stats.rebuilt = rebuilt
+
+        disk: dict[str, Path] = {}
+        disk_sig: dict[str, tuple[int, int]] = {}
+        for p in iter_concept_paths(bundle):
+            rel = "/" + p.relative_to(bundle).as_posix()
+            disk[rel] = p
+            try:
+                disk_sig[rel] = _sig(p)
+            except OSError:
+                continue
+
+        stored = {
+            row["path"]: (int(row["mtime"]), int(row["size"]))
+            for row in con.execute("SELECT path, mtime, size FROM nodes")
+        }
+
+        vanished = set(stored) - set(disk_sig)
+        for rel in vanished:
+            con.execute("DELETE FROM nodes WHERE path = ?", (rel,))
+            con.execute("DELETE FROM edges WHERE origin = ? OR src = ?", (rel, rel))
+            con.execute("DELETE FROM fts WHERE path = ?", (rel,))
+            stats.deleted += 1
+
+        for rel, p in disk.items():
+            sig = disk_sig.get(rel)
+            if sig is None:
+                continue
+            if not rebuilt and stored.get(rel) == sig:
+                stats.unchanged += 1
+                continue
+            try:
+                _upsert_node(con, bundle, rel, p)
+            except (OSError, UnicodeDecodeError):
+                continue
+            stats.parsed += 1
+
+        con.commit()
+        stats.nodes = int(con.execute("SELECT COUNT(*) FROM nodes").fetchone()[0])
+        stats.edges = int(con.execute("SELECT COUNT(*) FROM edges").fetchone()[0])
+        stats.ms = (time.perf_counter() - started) * 1000
+        con.execute(
+            "INSERT OR REPLACE INTO meta(key, value) VALUES ('refreshed_ms', ?)",
+            (str(int(time.time() * 1000)),),
         )
-    (index_dir / "graph.json").write_text(json.dumps(graph, indent=2), encoding="utf-8")
-    (index_dir / "embeddings.jsonl").write_text("\n".join(emb_lines) + ("\n" if emb_lines else ""), encoding="utf-8")
-
-    manifest = {
-        "built_at": datetime.now(timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z"),
-        "concept_count": len(inventory),
-        "token_count": len(inverted),
-        "edge_count": _edge_count,
-        "bundle": str(bundle),
-        "engine": "dekc-local-bow-v1",
-        "files": [
-            ".index/inventory.json",
-            ".index/search.json",
-            ".index/graph.json",
-            ".index/embeddings.jsonl",
-        ],
+        con.commit()
+        return stats
+    except sqlite3.DatabaseError as exc:
+        stats.ok = False
+        stats.error = str(exc)
+        stats.ms = (time.perf_counter() - started) * 1000
+        return stats
+    finally:
+        con.close()
+
+
+class GraphIndex:
+    """Open connection after a refresh. One per search/pack call."""
+
+    def __init__(self, bundle: Path, con: sqlite3.Connection, stats: RefreshStats):
+        self.bundle = bundle
+        self.con = con
+        self.stats = stats
+
+    def close(self) -> None:
+        try:
+            self.con.close()
+        except sqlite3.Error:
+            pass
+
+    def __enter__(self) -> "GraphIndex":
+        return self
+
+    def __exit__(self, *exc: object) -> None:
+        self.close()
+
+    def inbound(self, target: str) -> list[tuple[str, str, str]]:
+        rows = self.con.execute(
+            "SELECT rel, src, label FROM edges WHERE dst = ?", (target,)
+        ).fetchall()
+        return [(row["rel"], row["src"], row["label"] or "") for row in rows]
+
+    def neighbors(self, node: str, *, lineage_only: bool = True) -> list[str]:
+        """Undirected neighbors. lineage_only matches dekc_pack's build_graph walk."""
+        rows = self.con.execute(
+            "SELECT src, dst, rel FROM edges WHERE src = ? OR dst = ?",
+            (node, node),
+        ).fetchall()
+        out: list[str] = []
+        seen: set[str] = set()
+        for row in rows:
+            rel = row["rel"] or ""
+            if lineage_only and rel not in LINEAGE_RELS:
+                continue
+            other = row["dst"] if row["src"] == node else row["src"]
+            if other == node or other in seen:
+                continue
+            seen.add(other)
+            out.append(other)
+        return out
+
+    def node(self, rel: str) -> NodeRow | None:
+        row = self.con.execute(
+            """
+            SELECT path, type, title, description, status, tags, layer,
+                   mtime, size, fm_json, body, hay
+            FROM nodes WHERE path = ?
+            """,
+            (rel,),
+        ).fetchone()
+        if not row:
+            return None
+        return _row_to_node(row)
+
+    def candidates(self, terms: list[str], *, engine: str = "index") -> list[Path]:
+        terms = [t for t in terms if t]
+        if not terms:
+            return []
+        if engine == "fts":
+            query = " AND ".join('"' + t.replace('"', '""') + '"*' for t in terms)
+            rows = self.con.execute(
+                "SELECT path FROM fts WHERE fts MATCH ?", (query,)
+            ).fetchall()
+        else:
+            clause = " AND ".join("hay LIKE ? ESCAPE '\\'" for _ in terms)
+            params = [_like_term(t.lower()) for t in terms]
+            rows = self.con.execute(
+                f"SELECT path FROM nodes WHERE {clause}", params
+            ).fetchall()
+        return [self.bundle / row["path"].lstrip("/") for row in rows]
+
+    def iter_nodes(self) -> list[NodeRow]:
+        rows = self.con.execute(
+            """
+            SELECT path, type, title, description, status, tags, layer,
+                   mtime, size, fm_json, body, hay
+            FROM nodes ORDER BY path
+            """
+        ).fetchall()
+        return [_row_to_node(row) for row in rows]
+
+
+def _row_to_node(row: sqlite3.Row) -> NodeRow:
+    return NodeRow(
+        path=row["path"],
+        type=row["type"] or "Unknown",
+        title=row["title"] or "",
+        description=row["description"] or "",
+        status=row["status"] or "",
+        tags=row["tags"] or "",
+        layer=row["layer"] or "",
+        mtime=int(row["mtime"]),
+        size=int(row["size"]),
+        fm_json=row["fm_json"] or "{}",
+        body=row["body"] or "",
+        hay=row["hay"] or "",
+    )
+
+
+def open_graph(bundle: Path, *, force: bool = False) -> GraphIndex | None:
+    stats = refresh(bundle, force=force)
+    if stats is None or not stats.ok:
+        return None
+    con = _connect(index_path(bundle), create=False)
+    if con is None:
+        return None
+    return GraphIndex(bundle, con, stats)
+
+
+def drop_index(bundle: Path) -> bool:
+    path = index_path(bundle)
+    gone = False
+    for suffix in ("", "-journal", "-wal", "-shm"):
+        p = Path(str(path) + suffix) if suffix else path
+        if p.is_file():
+            p.unlink()
+            gone = True
+    return gone
+
+
+def _like_term(term: str) -> str:
+    return "%" + term.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_") + "%"
+
+
+def candidates(bundle: Path, terms: list[str], *, engine: str = "index") -> list[Path] | None:
+    graph = open_graph(bundle)
+    if graph is None:
+        return None
+    try:
+        return graph.candidates(terms, engine=engine)
+    finally:
+        graph.close()
+
+
+def inbound(bundle: Path, target: str) -> list[tuple[str, str, str]] | None:
+    graph = open_graph(bundle)
+    if graph is None:
+        return None
+    try:
+        return graph.inbound(target)
+    finally:
+        graph.close()
+
+
+def status(bundle: Path) -> dict[str, Any]:
+    path = index_path(bundle)
+    payload = {
+        "path": str(path),
+        "present": path.is_file(),
+        "fts5": fts5_available(),
+        "enabled": index_enabled(),
+        "schema_version": SCHEMA_VERSION,
+        "nodes": 0,
+        "edges": 0,
+        "on_disk_schema": None,
+        "engine": "dekc-sqlite-fts5-v1",
     }
-    (index_dir / "manifest.json").write_text(json.dumps(manifest, indent=2), encoding="utf-8")
-    return manifest
+    if not path.is_file():
+        return payload
+    con = _connect(path, create=False)
+    if con is None:
+        return payload
+    try:
+        payload["on_disk_schema"] = _schema_version(con)
+        payload["nodes"] = int(con.execute("SELECT COUNT(*) FROM nodes").fetchone()[0])
+        payload["edges"] = int(con.execute("SELECT COUNT(*) FROM edges").fetchone()[0])
+    except sqlite3.DatabaseError as exc:
+        payload["error"] = str(exc)
+    finally:
+        con.close()
+    return payload
+
+
+# ── compatibility wrappers (dekc_brain / existing tests) ────────────────
+
+
+def build_index(bundle: Path) -> dict[str, Any]:
+    """Force-rebuild. Replaces the old JSON `.index/` writer."""
+    stats = refresh(bundle, force=True)
+    if stats is None:
+        return {"ok": False, "error": "sqlite/fts5 unavailable", "engine": "dekc-sqlite-fts5-v1"}
+    payload = stats.as_dict()
+    payload["engine"] = "dekc-sqlite-fts5-v1"
+    payload["files"] = [".dekc/index.sqlite"]
+    payload["concept_count"] = stats.nodes
+    payload["edge_count"] = stats.edges
+    return payload
 
 
 def search_index(bundle: Path, query: str, limit: int = 20) -> list[dict[str, Any]]:
-    index_dir = bundle / ".index"
-    inv_path = index_dir / "inventory.json"
-    search_path = index_dir / "search.json"
-    if not inv_path.is_file() or not search_path.is_file():
-        build_index(bundle)
-    inventory = {e["path"]: e for e in json.loads(inv_path.read_text(encoding="utf-8"))}
-    inverted = json.loads(search_path.read_text(encoding="utf-8"))
-    q_tokens = tokenize(query)
-    scores: dict[str, float] = defaultdict(float)
-    for tok in q_tokens:
-        for path in inverted.get(tok, []):
-            scores[path] += 1.0
-        # prefix soft match
-        for k, paths in inverted.items():
-            if k.startswith(tok) and k != tok:
-                for path in paths:
-                    scores[path] += 0.25
-    ranked = sorted(scores.items(), key=lambda kv: -kv[1])[:limit]
-    out = []
-    for path, score in ranked:
-        e = dict(inventory.get(path) or {"path": path})
-        e["score"] = score
-        out.append(e)
-    return out
+    """Ranked hits. Delegates to dekc_search so scores match a full scan."""
+    from dekc_search import search as _search
+
+    hits, _engine = _search(bundle, query, limit=limit)
+    return hits
 
 
 def main(argv: list[str] | None = None) -> int:
-    parser = argparse.ArgumentParser(description="DEKC second-brain index")
+    parser = argparse.ArgumentParser(description="DEKC SQLite/FTS5 incremental index")
+    parser.add_argument(
+        "action",
+        choices=("status", "refresh", "drop", "build", "search"),
+        help="build is an alias for refresh --force (kept for CI / skills)",
+    )
     parser.add_argument("--repo", default=".")
     parser.add_argument("--bundle", default=None)
-    sub = parser.add_subparsers(dest="cmd", required=True)
-    sub.add_parser("build")
-    p = sub.add_parser("search")
-    p.add_argument("query")
-    p.add_argument("--limit", type=int, default=20)
+    parser.add_argument("--force", action="store_true", help="Drop and rebuild (refresh only)")
+    parser.add_argument("--json", action="store_true")
+    parser.add_argument("query", nargs="?", default="", help="Search query (search action)")
+    parser.add_argument("--limit", type=int, default=20)
     args = parser.parse_args(argv)
 
-    repo = Path(args.repo).resolve()
-    bundle = resolve_knowledge_root(repo, args.bundle)
+    bundle = resolve_knowledge_root(Path(args.repo).resolve(), args.bundle)
+    if not bundle.is_dir():
+        print(f"error: bundle not found: {bundle}", file=sys.stderr)
+        return 1
+
+    if args.action == "drop":
+        dropped = drop_index(bundle)
+        payload = {"dropped": dropped, "path": str(index_path(bundle))}
+        if args.json:
+            print(json.dumps(payload, indent=2))
+        else:
+            print(f"dropped {payload['path']}" if dropped else f"no index at {payload['path']}")
+        return 0
+
+    if args.action == "search":
+        if not args.query:
+            print("error: search requires a query", file=sys.stderr)
+            return 2
+        hits = search_index(bundle, args.query, args.limit)
+        print(json.dumps(hits, indent=2))
+        return 0
+
+    if args.action in {"refresh", "build"}:
+        stats = refresh(bundle, force=args.force or args.action == "build")
+        if stats is None:
+            print("error: SQLite FTS5 unavailable; index disabled", file=sys.stderr)
+            return 1
+        payload = stats.as_dict()
+        payload["engine"] = "dekc-sqlite-fts5-v1"
+        if args.json:
+            print(json.dumps(payload, indent=2))
+        else:
+            print(
+                f"index {stats.path}: nodes={stats.nodes} edges={stats.edges} "
+                f"parsed={stats.parsed} unchanged={stats.unchanged} "
+                f"deleted={stats.deleted} rebuilt={stats.rebuilt} {stats.ms:.1f}ms"
+            )
+        return 0 if stats.ok else 1
 
-    if args.cmd == "build":
-        manifest = build_index(bundle)
-        print(json.dumps(manifest, indent=2))
-    elif args.cmd == "search":
-        print(json.dumps(search_index(bundle, args.query, args.limit), indent=2))
+    payload = status(bundle)
+    if args.json:
+        print(json.dumps(payload, indent=2))
+    else:
+        state = "present" if payload["present"] else "absent"
+        print(f"index {payload['path']}: {state}")
+        print(f"  FTS5: {'yes' if payload['fts5'] else 'no'}")
+        print(f"  enabled: {payload['enabled']}")
+        if payload["present"]:
+            print(f"  nodes: {payload['nodes']}")
+            print(f"  edges: {payload['edges']}")
+            print(f"  schema: {payload['on_disk_schema']} (code {SCHEMA_VERSION})")
     return 0
 
 
 if __name__ == "__main__":
-    raise SystemExit(main())
+    sys.exit(main())
diff --git a/scripts/dekc_pack.py b/scripts/dekc_pack.py
index 2e49c62..2a9c030 100755
--- a/scripts/dekc_pack.py
+++ b/scripts/dekc_pack.py
@@ -17,14 +17,20 @@
 sys.path.insert(0, str(Path(__file__).resolve().parent))
 from dekc_common import (  # noqa: E402
     append_log,
+    find_rg,
+    is_concept_path,
+    iter_typed_edges,
     list_concepts,
+    parse_frontmatter,
     path_for_type,
     refresh_catalog_index,
     resolve_knowledge_root,
+    rg_list_files,
     utc_now,
     write_knowledge,
 )
-from dekc_lineage import build_graph, mermaid  # noqa: E402
+from dekc_lineage import FORWARD_FLOW, REVERSE_FLOW, build_graph, mermaid  # noqa: E402
+from dekc_index import LINEAGE_RELS, open_graph  # noqa: E402
 
 DEFAULT_WINDOW_TOKENS = 128_000
 PACK_BUDGET_DENOMINATOR = 4
@@ -77,12 +83,158 @@ def load_map(bundle: Path) -> dict[str, tuple[dict, str]]:
     return out
 
 
+def _parse_rel(bundle: Path, rel: str) -> tuple[dict, str]:
+    fp = bundle / rel.lstrip("/")
+    if not fp.is_file():
+        return {}, ""
+    try:
+        return parse_frontmatter(fp.read_text(encoding="utf-8"))
+    except (OSError, UnicodeDecodeError):
+        return {}, ""
+
+
+def _lineage_neighbors_from_file(bundle: Path, rel: str, fm: dict, body: str) -> list[str]:
+    """Undirected lineage neighbors authored on this file (typed edges + SQL)."""
+    from dekc_index import extract_dekc_edges
+
+    out: list[str] = []
+    seen: set[str] = set()
+    for src, dst, r, _label in extract_dekc_edges(bundle, rel, fm, body):
+        if r not in LINEAGE_RELS and r not in FORWARD_FLOW and r not in REVERSE_FLOW:
+            continue
+        other = dst if src == rel else src
+        if other == rel or other in seen:
+            continue
+        seen.add(other)
+        out.append(other)
+    return out
+
+
+def _inbound_via_rg(bundle: Path, target: str) -> list[str] | None:
+    """Undirected lineage neighbors via rg.
+
+    rg only finds files that *mention* `target`. The target file itself almost
+    never contains its own path (SQL lineage lives in a fenced block of table
+    names), so we always parse it. None = rg missing/failed → fall back.
+    """
+    needles = [target]
+    if target.startswith("/"):
+        needles.append(target.lstrip("/"))
+    hits = rg_list_files(bundle, needles[:1], fixed_string=True, ignore_case=False)
+    if hits is None:
+        return None
+    neighbors: list[str] = []
+    seen: set[str] = set()
+
+    def _consider(src: str, nxt: str) -> None:
+        if nxt == target and src != target and src not in seen:
+            seen.add(src)
+            neighbors.append(src)
+        elif src == target and nxt != target and nxt not in seen:
+            seen.add(nxt)
+            neighbors.append(nxt)
+
+    target_path = bundle / target.lstrip("/")
+    files: list[Path] = []
+    seen_paths: set[Path] = set()
+    if target_path.is_file():
+        files.append(target_path.resolve())
+        seen_paths.add(target_path.resolve())
+    for path in hits:
+        try:
+            resolved = path.resolve()
+        except OSError:
+            continue
+        if resolved in seen_paths:
+            continue
+        seen_paths.add(resolved)
+        files.append(path)
+
+    for path in files:
+        if not is_concept_path(bundle, path) and path.resolve() != target_path.resolve():
+            continue
+        try:
+            src = "/" + path.relative_to(bundle).as_posix()
+        except ValueError:
+            continue
+        fm, body = _parse_rel(bundle, src)
+        for nxt in _lineage_neighbors_from_file(bundle, src, fm, body):
+            _consider(src, nxt)
+    return neighbors
+
+
+class ReverseIndex:
+    """Lineage neighbors: SQLite index → rg → full scan."""
+
+    def __init__(
+        self,
+        bundle: Path,
+        *,
+        use_rg: bool | None = None,
+        use_index: bool | None = None,
+    ):
+        self.bundle = bundle
+        self._full: dict[str, list[str]] | None = None
+        self._memo: dict[str, list[str]] = {}
+        self._graph = None
+        if use_index is False:
+            self._index = False
+        else:
+            self._graph = open_graph(bundle)
+            self._index = self._graph is not None
+            if use_index is True and not self._index:
+                self._index = False
+        if use_rg is False:
+            self._rg = False
+        else:
+            self._rg = bool(find_rg())
+
+    @property
+    def engine(self) -> str:
+        if self._index:
+            return "index"
+        return "rg" if self._rg else "scan"
+
+    def close(self) -> None:
+        if self._graph is not None:
+            self._graph.close()
+            self._graph = None
+
+    def get(self, target: str) -> list[str]:
+        if target in self._memo:
+            return self._memo[target]
+        if self._index and self._graph is not None:
+            found = self._graph.neighbors(target, lineage_only=True)
+            self._memo[target] = found
+            return found
+        if self._rg:
+            found = _inbound_via_rg(self.bundle, target)
+            if found is not None:
+                self._memo[target] = found
+                return found
+            self._rg = False
+        if self._full is None:
+            graph = build_graph(self.bundle)
+            undirected: dict[str, list[str]] = {}
+            for s, tgts in graph.items():
+                undirected.setdefault(s, [])
+                for t in tgts:
+                    undirected.setdefault(s, []).append(t)
+                    undirected.setdefault(t, []).append(s)
+            self._full = {k: list(dict.fromkeys(v)) for k, v in undirected.items()}
+        edges = self._full.get(target, [])
+        self._memo[target] = edges
+        return edges
+
+
 def pack(
     bundle: Path,
     focus: str,
     *,
     hops: int = 2,
     max_nodes: int = 20,
+    use_rg: bool | None = None,
+    use_index: bool | None = None,
 ) -> dict:
     if not focus.startswith("/"):
         candidate = focus if focus.endswith(".md") else focus + ".md"
@@ -96,64 +248,83 @@ def pack(
             else:
                 focus = "/" + candidate.lstrip("/")
 
-    graph = build_graph(bundle)
-    concepts = load_map(bundle)
-    undirected: dict[str, list[str]] = {}
-    for s, tgts in graph.items():
-        undirected.setdefault(s, [])
-        for t in tgts:
-            undirected.setdefault(s, []).append(t)
-            undirected.setdefault(t, []).append(s)
-    if focus in concepts:
-        for link in concepts[focus][0].get("links") or []:
-            if isinstance(link, dict) and link.get("target"):
-                undirected.setdefault(focus, []).append(link["target"])
-                undirected.setdefault(link["target"], []).append(focus)
-
-    seen = {focus}
-    order = [focus]
-    q = deque([(focus, 0)])
-    while q and len(order) < max_nodes:
-        node, d = q.popleft()
-        if d >= hops:
-            continue
-        for nxt in undirected.get(node, []):
-            if nxt not in seen:
-                seen.add(nxt)
-                order.append(nxt)
-                q.append((nxt, d + 1))
-                if len(order) >= max_nodes:
-                    break
-
-    nodes = []
-    for rel in order:
-        fm, body = concepts.get(rel, ({}, ""))
-        title = fm.get("title") or Path(rel).stem
-        typ = fm.get("type") or "?"
-        layer = fm.get("layer")
-        is_root = rel == focus
-        nodes.append(
-            {
-                "path": rel,
-                "title": title,
-                "type": typ,
-                "layer": layer,
-                "description": fm.get("description") or "",
-                "body": body if is_root else "",
-            }
-        )
+    inbound = ReverseIndex(bundle, use_rg=use_rg, use_index=use_index)
+    try:
+        focus_fm, focus_body = _parse_rel(bundle, focus)
+        extra: list[str] = []
+        for tgt, _rel in iter_typed_edges(focus_fm):
+            if tgt and tgt != focus:
+                extra.append(tgt if tgt.startswith("/") else "/" + tgt.lstrip("/"))
+
+        seen = {focus}
+        order = [focus]
+        q = deque([(focus, 0)])
+        while q and len(order) < max_nodes:
+            node, d = q.popleft()
+            if d >= hops:
+                continue
+            # Outbound lineage is authored on this file (typed flow + SQL) and
+            # is invisible to `rg -lF <path>` because the file rarely mentions
+            # its own path. Union with inbound (index / rg / scan).
+            fm, body = _parse_rel(bundle, node)
+            outbound = _lineage_neighbors_from_file(bundle, node, fm, body)
+            neighbors = list(dict.fromkeys(list(outbound) + list(inbound.get(node))))
+            if node == focus:
+                neighbors.extend(extra)
+            for nxt in neighbors:
+                if nxt not in seen:
+                    seen.add(nxt)
+                    order.append(nxt)
+                    q.append((nxt, d + 1))
+                    if len(order) >= max_nodes:
+                        break
+
+        nodes = []
+        for rel in order:
+            if inbound.engine == "index" and inbound._graph is not None:
+                row = inbound._graph.node(rel)
+                if row is not None:
+                    fm = row.frontmatter()
+                    body = row.body
+                    title = row.title or Path(rel).stem
+                    typ = row.type
+                    layer = row.layer or fm.get("layer")
+                else:
+                    fm, body = _parse_rel(bundle, rel)
+                    title = fm.get("title") or Path(rel).stem
+                    typ = fm.get("type") or "?"
+                    layer = fm.get("layer")
+            else:
+                fm, body = _parse_rel(bundle, rel)
+                title = fm.get("title") or Path(rel).stem
+                typ = fm.get("type") or "?"
+                layer = fm.get("layer")
+            is_root = rel == focus
+            nodes.append(
+                {
+                    "path": rel,
+                    "title": title,
+                    "type": typ,
+                    "layer": layer,
+                    "description": (fm.get("description") if isinstance(fm, dict) else "") or "",
+                    "body": body if is_root else "",
+                }
+            )
 
-    return {
-        "focus": focus,
-        "hops": hops,
-        "max_nodes": max_nodes,
-        "node_count": len(nodes),
-        "nodes": nodes,
-        "excluded_note": (
-            "Nodes beyond hops/max_nodes omitted for progressive disclosure. "
-            "Node clip is not a token budget."
-        ),
-    }
+        return {
+            "focus": focus,
+            "hops": hops,
+            "max_nodes": max_nodes,
+            "node_count": len(nodes),
+            "nodes": nodes,
+            "reverse_index": inbound.engine,
+            "excluded_note": (
+                "Nodes beyond hops/max_nodes omitted for progressive disclosure. "
+                "Node clip is not a token budget."
+            ),
+        }
+    finally:
+        inbound.close()
 
 
 def render_markdown(
@@ -234,6 +405,9 @@ def main(argv: list[str] | None = None) -> int:
     parser.add_argument("--mermaid", action="store_true")
     parser.add_argument("--write", action="store_true", help="Write pack under packs/")
     parser.add_argument("--author", default="")
+    parser.add_argument("--rg", action="store_true", help="Use ripgrep for inbound discovery")
+    parser.add_argument("--no-rg", action="store_true", help="Disable ripgrep")
+    parser.add_argument("--no-index", action="store_true", help="Disable the SQLite index")
     args = parser.parse_args(argv)
     from dekc_common import resolve_author
 
@@ -245,7 +419,16 @@ def main(argv: list[str] | None = None) -> int:
         args.max_nodes = 8
 
     bundle = resolve_knowledge_root(Path(args.repo).resolve(), args.bundle)
-    result = pack(bundle, args.focus, hops=args.hops, max_nodes=args.max_nodes)
+    use_index: bool | None = False if args.no_index else None
+    use_rg: bool | None = False if args.no_rg else (True if args.rg else None)
+    result = pack(
+        bundle,
+        args.focus,
+        hops=args.hops,
+        max_nodes=args.max_nodes,
+        use_rg=use_rg,
+        use_index=use_index,
+    )
 
     try:
         if args.mermaid:
diff --git a/scripts/dekc_search.py b/scripts/dekc_search.py
index a12935d..dc08e76 100755
--- a/scripts/dekc_search.py
+++ b/scripts/dekc_search.py
@@ -1,56 +1,318 @@
 #!/usr/bin/env python3
-"""Full-text + indexed search over DEKC concepts."""
+"""Full-text search over a DEKC knowledge bundle (Git stays source of truth).
+
+Ladder: SQLite index → ripgrep prefilter → linear scan. Ranking is always
+computed in Python over the candidate files, so scores stay identical to a
+full scan. `--no-index` / `--no-rg` force a lower rung.
+
+Usage:
+  python3 scripts/dekc_search.py revenue --bundle sample-knowledge
+  python3 scripts/dekc_search.py "gold orders" --json
+  python3 scripts/dekc_search.py revenue --no-rg --no-index
+"""
 
 from __future__ import annotations
 
 import argparse
 import json
+import re
 import sys
 from pathlib import Path
+from typing import Any
 
 sys.path.insert(0, str(Path(__file__).resolve().parent))
-from dekc_common import list_concepts, resolve_knowledge_root  # noqa: E402
-from dekc_index import search_index, build_index  # noqa: E402
+from dekc_common import (  # noqa: E402
+    find_rg,
+    is_concept_path,
+    iter_concept_paths,
+    parse_frontmatter,
+    resolve_knowledge_root,
+    rg_list_files,
+)
+from dekc_index import open_graph  # noqa: E402
+
+
+def tokenize(q: str) -> list[str]:
+    return [t for t in re.split(r"\s+", q.strip().lower()) if t]
+
+
+def candidate_files(
+    bundle: Path,
+    terms: list[str],
+    *,
+    path_prefix: str | None = None,
+    use_rg: bool | None = None,
+    use_index: bool | None = None,
+    index_engine: str = "index",
+) -> tuple[list[Path], str]:
+    """Return (files, engine) where engine is 'index', 'rg', or 'scan'."""
+    universe = iter_concept_paths(bundle)
+    if path_prefix:
+        prefix = path_prefix.lstrip("/")
+        universe = [
+            p
+            for p in universe
+            if ("/" + p.relative_to(bundle).as_posix()).lstrip("/").startswith(prefix)
+        ]
+
+    def _filter(paths: list[Path]) -> list[Path]:
+        allowed = {p.resolve() for p in paths}
+        return [
+            p
+            for p in universe
+            if p.resolve() in allowed and is_concept_path(bundle, p)
+        ]
+
+    if use_index is not False:
+        graph = open_graph(bundle)
+        if graph is not None:
+            try:
+                hits = graph.candidates(terms, engine=index_engine)
+                return _filter(hits), "index"
+            finally:
+                graph.close()
+        if use_index is True:
+            pass
+
+    if use_rg is False:
+        return universe, "scan"
+    if use_rg is None and not find_rg():
+        return universe, "scan"
+    hits = rg_list_files(bundle, terms, ignore_case=True, fixed_string=False)
+    if hits is None:
+        return universe, "scan"
+    return _filter(hits), "rg"
+
+
+def search(
+    bundle: Path,
+    query: str,
+    *,
+    types: list[str] | None = None,
+    limit: int = 20,
+    path_prefix: str | None = None,
+    use_rg: bool | None = None,
+    use_index: bool | None = None,
+    index_engine: str = "index",
+) -> tuple[list[dict[str, Any]], str]:
+    terms = tokenize(query)
+    if not terms:
+        return [], "scan"
+
+    type_filter = {t.lower() for t in (types or []) if t}
+    results: list[dict[str, Any]] = []
+    files, engine = candidate_files(
+        bundle,
+        terms,
+        path_prefix=path_prefix,
+        use_rg=use_rg,
+        use_index=use_index,
+        index_engine=index_engine,
+    )
+
+    for path in files:
+        rel = "/" + path.relative_to(bundle).as_posix()
+        try:
+            text = path.read_text(encoding="utf-8")
+        except (OSError, UnicodeDecodeError):
+            continue
+        fm, body = parse_frontmatter(text)
+        ctype = str(fm.get("type") or "Unknown")
+        if type_filter and ctype.lower() not in type_filter:
+            continue
+
+        hay_title = str(fm.get("title") or path.stem).lower()
+        hay_desc = str(fm.get("description") or "").lower()
+        hay_tags = " ".join(str(t) for t in (fm.get("tags") or [])).lower()
+        hay_body = body.lower()
+        full = f"{hay_title}\n{hay_desc}\n{hay_tags}\n{hay_body}"
+
+        score = 0
+        hits: list[str] = []
+        missing = False
+        for term in terms:
+            if term not in full:
+                missing = True
+                break
+            c_title = hay_title.count(term)
+            c_desc = hay_desc.count(term)
+            c_tags = hay_tags.count(term)
+            c_body = hay_body.count(term)
+            score += c_title * 10 + c_desc * 5 + c_tags * 4 + min(c_body, 8)
+            if c_title:
+                hits.append("title")
+            if c_desc:
+                hits.append("description")
+            if c_tags:
+                hits.append("tags")
+            if c_body:
+                hits.append("body")
+        if missing or score <= 0:
+            continue
+
+        snippet = _snippet(body or hay_desc, terms)
+        results.append(
+            {
+                "path": rel,
+                "type": ctype,
+                "title": fm.get("title") or path.stem,
+                "description": fm.get("description") or "",
+                "status": fm.get("status"),
+                "layer": fm.get("layer"),
+                "score": score,
+                "hits": sorted(set(hits)),
+                "snippet": snippet,
+            }
+        )
+
+    results.sort(key=lambda r: (-r["score"], r["title"]))
+    return results[:limit], engine
+
+
+def _snippet(body: str, terms: list[str], width: int = 160) -> str:
+    low = body.lower()
+    pos = -1
+    for t in terms:
+        i = low.find(t)
+        if i >= 0:
+            pos = i
+            break
+    if pos < 0:
+        text = re.sub(r"\s+", " ", body).strip()
+        return text[:width] + ("…" if len(text) > width else "")
+    start = max(0, pos - 40)
+    end = min(len(body), pos + width)
+    frag = re.sub(r"\s+", " ", body[start:end]).strip()
+    if start > 0:
+        frag = "…" + frag
+    if end < len(body):
+        frag = frag + "…"
+    return frag
+
+
+def render(results: list[dict[str, Any]], query: str) -> str:
+    lines = [f"# Search: {query}", "", f"{len(results)} hit(s)", ""]
+    if not results:
+        lines.append("_No matches._")
+        return "\n".join(lines) + "\n"
+    for r in results:
+        lines.append(f"## [{r['title']}]({r['path']}) · `{r['type']}` · score {r['score']}")
+        if r.get("description"):
+            lines.append("")
+            lines.append(str(r["description"]))
+        if r.get("snippet"):
+            lines.append("")
+            lines.append(f"> {r['snippet']}")
+        lines.append("")
+        lines.append(f"_hits: {', '.join(r['hits'])}_")
+        lines.append("")
+    return "\n".join(lines)
 
 
 def main(argv: list[str] | None = None) -> int:
-    parser = argparse.ArgumentParser()
-    parser.add_argument("query")
+    parser = argparse.ArgumentParser(description="DEKC full-text search")
+    parser.add_argument("query", help="Search terms (AND)")
     parser.add_argument("--repo", default=".")
     parser.add_argument("--bundle", default=None)
+    parser.add_argument("--type", dest="types", default=None, help="Comma-separated types")
     parser.add_argument("--limit", type=int, default=20)
+    parser.add_argument("--prefix", default=None, help="Path prefix filter e.g. tables/")
     parser.add_argument("--json", action="store_true")
-    parser.add_argument("--rebuild", action="store_true")
+    parser.add_argument("--rebuild", action="store_true", help="Force-rebuild the SQLite index first")
+    parser.add_argument(
+        "--rg",
+        action="store_true",
+        help="Use ripgrep to prefilter candidate files (default when rg is on PATH)",
+    )
+    parser.add_argument(
+        "--no-rg",
+        action="store_true",
+        help="Disable ripgrep; fall through to a full scan (unless the index is used)",
+    )
+    parser.add_argument(
+        "--no-index",
+        action="store_true",
+        help="Disable the SQLite index; fall through to rg then scan",
+    )
+    parser.add_argument(
+        "--engine",
+        choices=("auto", "index", "fts", "rg", "scan"),
+        default="auto",
+        help="Force a retrieval rung. 'fts' uses FTS5 MATCH (not score-identical).",
+    )
     args = parser.parse_args(argv)
 
     bundle = resolve_knowledge_root(Path(args.repo).resolve(), args.bundle)
-    if args.rebuild or not (bundle / ".index" / "search.json").is_file():
-        build_index(bundle)
-    hits = search_index(bundle, args.query, args.limit)
-
-    # fallback scan if empty
-    if not hits:
-        q = args.query.lower()
-        for path, fm, body in list_concepts(bundle):
-            blob = f"{fm.get('title','')} {fm.get('description','')} {body}".lower()
-            if q in blob:
-                hits.append(
-                    {
-                        "path": path.relative_to(bundle).as_posix(),
-                        "title": fm.get("title"),
-                        "type": fm.get("type"),
-                        "score": 1,
-                    }
+    if not bundle.is_dir():
+        print(f"error: bundle not found: {bundle}", file=sys.stderr)
+        return 1
+
+    if args.rg and args.no_rg:
+        print("error: --rg and --no-rg are mutually exclusive", file=sys.stderr)
+        return 2
+
+    if args.rebuild:
+        from dekc_index import refresh
+
+        refresh(bundle, force=True)
+
+    use_index: bool | None = None
+    use_rg: bool | None = None
+    index_engine = "index"
+    if args.engine == "scan":
+        use_index = False
+        use_rg = False
+    elif args.engine == "rg":
+        use_index = False
+        use_rg = True
+    elif args.engine == "index":
+        use_index = True
+        use_rg = False
+    elif args.engine == "fts":
+        use_index = True
+        use_rg = False
+        index_engine = "fts"
+    else:
+        if args.no_index:
+            use_index = False
+        if args.no_rg:
+            use_rg = False
+        elif args.rg:
+            use_rg = True
+            if not find_rg():
+                print(
+                    "dekc_search: rg not found; falling back. "
+                    "Install ripgrep or pass --no-rg.",
+                    file=sys.stderr,
                 )
-            if len(hits) >= args.limit:
-                break
+
+    types = [t.strip() for t in (args.types or "").split(",") if t.strip()] or None
+    results, engine = search(
+        bundle,
+        args.query,
+        types=types,
+        limit=args.limit,
+        path_prefix=args.prefix,
+        use_rg=use_rg,
+        use_index=use_index,
+        index_engine=index_engine,
+    )
 
     if args.json:
-        print(json.dumps({"query": args.query, "count": len(hits), "hits": hits}, indent=2))
+        print(
+            json.dumps(
+                {
+                    "query": args.query,
+                    "count": len(results),
+                    "engine": engine,
+                    "hits": results,
+                    "results": results,
+                },
+                indent=2,
+            )
+        )
     else:
-        print(f"{len(hits)} hits for {args.query!r}")
-        for h in hits:
-            print(f"  [{h.get('type')}] {h.get('title')}  ({h.get('path')}) score={h.get('score')}")
+        print(render(results, args.query))
     return 0
 
 
diff --git a/skills/dekc-doctor/SKILL.md b/skills/dekc-doctor/SKILL.md
index 1265ffd..a12f863 100644
--- a/skills/dekc-doctor/SKILL.md
+++ b/skills/dekc-doctor/SKILL.md
@@ -1,10 +1,15 @@
 ---
 name: dekc-doctor
-description: Health check: validation, business coverage, orphans, index.
+description: Health check: validation, business coverage, orphans, toolchain (rg / FTS5 / sqlite index).
 ---
 
 # Doctor
 
+One-screen health: validation, business-object coverage, orphan tables, plus
+toolchain (Python, ripgrep, SQLite FTS5) and whether
+`knowledge/.dekc/index.sqlite` is present. Warms the index status on each run.
+If rg is missing, offer installing ripgrep yourself — never from a hook.
+
 ```bash
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_doctor.py" --repo . --bundle knowledge
 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_validate.py" --repo . --bundle knowledge
diff --git a/skills/dekc-grade/SKILL.md b/skills/dekc-grade/SKILL.md
index 9e85138..3a7109e 100644
--- a/skills/dekc-grade/SKILL.md
+++ b/skills/dekc-grade/SKILL.md
@@ -31,7 +31,7 @@ Dict-valued `description` fields (bad YAML / mixed bundles) are coerced; grade d
 1. Spawn **lineage-skeptic**, **business-skeptic**, **stream-job-skeptic**, **coverage-skeptic**
 2. Aggregate with **re-adversary-judge** against `evaluation/reverse-engineering-rubric.md` (threshold 0.75)
 3. On fail → orchestrator revises (capture evidence or **retract** claims) → re-grade
-4. On pass → `dekc_index.py build`
+4. On pass → `dekc_doctor.py` (search/pack refresh the SQLite index themselves)
 
 Orchestrators: **data-lake-walker**, **reverse-engineering-orchestrator**.
 
diff --git a/skills/dekc-index/SKILL.md b/skills/dekc-index/SKILL.md
index 2986540..4fef7d0 100644
--- a/skills/dekc-index/SKILL.md
+++ b/skills/dekc-index/SKILL.md
@@ -1,12 +1,27 @@
 ---
 name: dekc-index
-description: Rebuild the local second-brain index (inventory, inverted search, graph, embeddings).
+description: Refresh, inspect, or drop the disposable SQLite/FTS5 knowledge index. Use when search/pack is slow, after a large git checkout, or when the user asks about the DEKC index.
 ---
 
-# Index
+# DEKC index
+
+Git + Markdown is the source of truth. `knowledge/.dekc/index.sqlite` is a
+disposable accelerator. Deleting it is always valid recovery.
 
 ```bash
-python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" --repo . --bundle knowledge build
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" status --repo .
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" refresh --repo .
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" refresh --force --repo .
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" drop --repo .
 ```
 
-Writes `knowledge/.index/{inventory,search,graph,embeddings,manifest}.*` for LLM retrieval.
+`build` is an alias for `refresh --force` (kept for CI and older skills).
+
+Search and pack refresh the index themselves on each call (mtime+size, not
+the curate hook). You do not need to run `refresh` first.
+
+Ladder: index → ripgrep → full scan. `--no-index` on search/pack skips this
+rung. `DEKC_NO_INDEX=1` disables it for the process.
+
+Never commit `*.sqlite`. Never install packages. Missing FTS5 is not a
+failure — the lower rungs still run. See `docs/designs/retrieval-ladder.md`.
diff --git a/skills/dekc-search/SKILL.md b/skills/dekc-search/SKILL.md
index a8b58c2..ce95054 100644
--- a/skills/dekc-search/SKILL.md
+++ b/skills/dekc-search/SKILL.md
@@ -1,11 +1,24 @@
 ---
 name: dekc-search
-description: Search the indexed DEKC second brain.
+description: Full-text search over the DEKC knowledge bundle (AND terms, type filters). Use when finding tables, lineage, or metrics by keyword.
 ---
 
 # Search
 
 ```bash
-python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_index.py" --repo . --bundle knowledge build
-python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" "revenue" --repo . --bundle knowledge
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" "revenue" --repo .
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" revenue --type Table,Metric --json
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" revenue --engine index
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" revenue --no-index --rg
+python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_search.py" revenue --engine scan
 ```
+
+AND semantics across terms. Scores title > description > tags > body
+(`title×10 / description×5 / tags×4 / min(body,8)`).
+
+Ladder: SQLite index → ripgrep → full scan. Ranking stays in Python, so
+`--engine scan` and the index path return the same scores. `--engine fts`
+uses FTS5 MATCH (prefix tokens; not score-identical). Missing index or rg
+is not an error. See `/dekc-index`.
+
+After hits on a table, offer `/dekc-context` (2-hop pack).
diff --git a/skills/dekc-second-brain/SKILL.md b/skills/dekc-second-brain/SKILL.md
index bdf9717..d7c2b2c 100644
--- a/skills/dekc-second-brain/SKILL.md
+++ b/skills/dekc-second-brain/SKILL.md
@@ -40,7 +40,7 @@ python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_brain.py" "gold order_daily" \
 1. **Retrieve** with `dekc_brain.py` (intent + query) → checklist + ranked concepts + 2-hop pack  
 2. **Design** using only evidence from the pack (do not invent lineage)  
 3. **Capture** new assets with `dekc_capture.py` matching `schemas/okf-concepts/`  
-4. **Index** `dekc_index.py build`  
+4. **Index** is optional — search/pack refresh `knowledge/.dekc/index.sqlite` themselves. `dekc_index.py build` is `refresh --force`.  
 5. Optional **grade** if reverse-engineering
 
 See `schemas/README.md` and `docs/user_guide/user-guide.md`.
diff --git a/templates/gitignore-fragment b/templates/gitignore-fragment
index 03b5281..6c76701 100644
--- a/templates/gitignore-fragment
+++ b/templates/gitignore-fragment
@@ -4,6 +4,15 @@
 # for every bundle rather than one hardcoded name.
 **/.index/
 
+# Disposable SQLite/FTS5 retrieval index (DEKC 0.5.0). Git + Markdown stays
+# source of truth; deleting the sqlite file is always valid recovery.
+# Do not ignore the whole `.dekc/` directory — config.yml lives there.
+**/.dekc/index.sqlite
+**/.dekc/index.sqlite-journal
+**/.dekc/index.sqlite-wal
+**/.dekc/index.sqlite-shm
+
+
 # Per-object WriteEvents — opt in with DEKC_WRITE_EVENTS=1 or --write-event.
 # Keep the catalog index if you generate one; ignore the timestamp flood (#37).
 **/write-events/*
diff --git a/tests/fixtures/fake_rg.py b/tests/fixtures/fake_rg.py
new file mode 100755
index 0000000..df4080c
--- /dev/null
+++ b/tests/fixtures/fake_rg.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+"""Minimal `rg -l` stand-in for tests. Not a real ripgrep.
+
+Understands:
+  -l / --files-with-matches
+  -i / --ignore-case
+  -F / --fixed-strings
+  --glob GLOB (including !negations)
+  --no-messages --color never
+  pattern PATH
+"""
+
+from __future__ import annotations
+
+import argparse
+import fnmatch
+import re
+import sys
+from pathlib import Path
+
+
+def match_globs(rel: str, globs: list[str]) -> bool:
+    include = [g for g in globs if not g.startswith("!")]
+    exclude = [g[1:] for g in globs if g.startswith("!")]
+    ok = True
+    if include:
+        ok = any(fnmatch.fnmatch(rel, g) or fnmatch.fnmatch(Path(rel).name, g) for g in include)
+    for g in exclude:
+        if fnmatch.fnmatch(rel, g) or fnmatch.fnmatch(Path(rel).name, g):
+            return False
+    return ok
+
+
+def main(argv: list[str] | None = None) -> int:
+    p = argparse.ArgumentParser(add_help=False)
+    p.add_argument("-l", "--files-with-matches", action="store_true")
+    p.add_argument("-i", "--ignore-case", action="store_true")
+    p.add_argument("-F", "--fixed-strings", action="store_true")
+    p.add_argument("--glob", action="append", default=[])
+    p.add_argument("--no-messages", action="store_true")
+    p.add_argument("--color", default="never")
+    p.add_argument("pattern")
+    p.add_argument("path", nargs="?", default=".")
+    args = p.parse_args(argv)
+
+    root = Path(args.path).resolve()
+    flags = re.I if args.ignore_case else 0
+    if args.fixed_strings:
+        needle = args.pattern.lower() if args.ignore_case else args.pattern
+        pred = lambda text: needle in (text.lower() if args.ignore_case else text)
+    else:
+        try:
+            rx = re.compile(args.pattern, flags)
+        except re.error:
+            return 2
+        pred = lambda text: rx.search(text) is not None
+
+    hits = 0
+    if root.is_file():
+        files = [root]
+        base = root.parent
+    else:
+        files = sorted(root.rglob("*"))
+        base = root
+    for path in files:
+        if not path.is_file():
+            continue
+        try:
+            rel = path.relative_to(base).as_posix()
+        except ValueError:
+            rel = path.name
+        if args.glob and not match_globs(rel, args.glob):
+            continue
+        try:
+            text = path.read_text(encoding="utf-8", errors="replace")
+        except OSError:
+            continue
+        if pred(text):
+            print(path)
+            hits += 1
+    return 0 if hits else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/test_dekc.py b/tests/test_dekc.py
index e30d1fa..ba101d3 100644
--- a/tests/test_dekc.py
+++ b/tests/test_dekc.py
@@ -480,6 +480,7 @@ class TestVersionConsistency(unittest.TestCase):
     three others but left 8 more manifests stale (issue #8 / PR #12)."""
 
     MANIFESTS = [
+        ("plugin.json", ("version",)),
         ("package.json", ("version",)),
         ("marketplace.json", ("plugins", 0, "version")),
         (".cursor-plugin/plugin.json", ("version",)),
diff --git a/tests/test_retrieval_ladder.py b/tests/test_retrieval_ladder.py
new file mode 100644
index 0000000..c5200aa
--- /dev/null
+++ b/tests/test_retrieval_ladder.py
@@ -0,0 +1,183 @@
+#!/usr/bin/env python3
+"""Retrieval ladder: index → rg → scan. Scores and pack graphs stay identical."""
+
+from __future__ import annotations
+
+import os
+import shutil
+import sys
+import tempfile
+import unittest
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+SCRIPTS = ROOT / "scripts"
+sys.path.insert(0, str(SCRIPTS))
+
+from dekc_common import find_rg  # noqa: E402
+from dekc_doctor import doctor  # noqa: E402
+from dekc_index import drop_index, refresh, status  # noqa: E402
+from dekc_pack import pack  # noqa: E402
+from dekc_search import candidate_files, search  # noqa: E402
+
+FAKE_RG = ROOT / "tests/fixtures/fake_rg.py"
+SAMPLE = ROOT / "sample-knowledge"
+
+
+class TestRipgrepAccelerator(unittest.TestCase):
+    def setUp(self):
+        self._saved = os.environ.get("DEKC_RG_PATH")
+        FAKE_RG.chmod(0o755)
+        os.environ["DEKC_RG_PATH"] = str(FAKE_RG)
+
+    def tearDown(self):
+        if self._saved is None:
+            os.environ.pop("DEKC_RG_PATH", None)
+        else:
+            os.environ["DEKC_RG_PATH"] = self._saved
+
+    def test_find_rg_honors_env(self):
+        self.assertEqual(Path(find_rg()).resolve(), FAKE_RG.resolve())
+
+    def test_search_rg_matches_scan_ranking(self):
+        scan, scan_engine = search(SAMPLE, "revenue", limit=10, use_rg=False, use_index=False)
+        accel, accel_engine = search(SAMPLE, "revenue", limit=10, use_rg=True, use_index=False)
+        self.assertGreaterEqual(len(scan), 1)
+        self.assertEqual([h["path"] for h in scan], [h["path"] for h in accel])
+        self.assertEqual([h["score"] for h in scan], [h["score"] for h in accel])
+        self.assertEqual(accel_engine, "rg")
+        self.assertEqual(scan_engine, "scan")
+
+    def test_search_and_terms_intersect(self):
+        files, engine = candidate_files(
+            SAMPLE, ["revenue", "zzzz-no-such-term"], use_rg=True, use_index=False
+        )
+        self.assertEqual(engine, "rg")
+        self.assertEqual(files, [])
+
+    def test_pack_rg_matches_scan_graph(self):
+        # Sample 2-hop subgraph is >20 nodes; cap would make BFS order a
+        # false identity failure. Identity is the set, not the clip.
+        scan = pack(SAMPLE, "tables/gold-order-daily.md", hops=2, max_nodes=80, use_rg=False, use_index=False)
+        accel = pack(SAMPLE, "tables/gold-order-daily.md", hops=2, max_nodes=80, use_rg=True, use_index=False)
+        self.assertEqual(scan["node_count"], accel["node_count"])
+        self.assertEqual(
+            sorted(n["path"] for n in scan["nodes"]),
+            sorted(n["path"] for n in accel["nodes"]),
+        )
+        self.assertEqual(accel["reverse_index"], "rg")
+        self.assertEqual(scan["reverse_index"], "scan")
+        self.assertGreaterEqual(scan["node_count"], 5)
+
+
+class TestSqliteIndex(unittest.TestCase):
+    def setUp(self):
+        self.tmp = Path(tempfile.mkdtemp())
+        (self.tmp / "index.md").write_text(
+            '---\nokf_version: "0.2"\ntitle: t\n---\n', encoding="utf-8"
+        )
+        (self.tmp / "log.md").write_text("# log\n", encoding="utf-8")
+        tables = self.tmp / "tables"
+        tables.mkdir()
+        (tables / "root.md").write_text(
+            "---\n"
+            "type: Table\n"
+            "title: Lumenfield Orders\n"
+            "description: gold revenue fact\n"
+            "layer: gold\n"
+            "tags: [orders, revenue]\n"
+            "links:\n"
+            "  - target: /tables/neighbor.md\n"
+            "    rel: feeds\n"
+            "---\n"
+            "# Lumenfield Orders\n\nDaily GMV.\n",
+            encoding="utf-8",
+        )
+        (tables / "neighbor.md").write_text(
+            "---\n"
+            "type: Table\n"
+            "title: Neighbor\n"
+            "description: upstream bronze\n"
+            "layer: bronze\n"
+            "---\n"
+            "# Neighbor\n",
+            encoding="utf-8",
+        )
+
+    def tearDown(self):
+        shutil.rmtree(self.tmp, ignore_errors=True)
+
+    def test_refresh_then_noop(self):
+        first = refresh(self.tmp, force=True)
+        self.assertIsNotNone(first)
+        self.assertTrue(first.ok)
+        self.assertEqual(first.parsed, 2)
+        second = refresh(self.tmp)
+        self.assertEqual(second.parsed, 0)
+        self.assertEqual(second.unchanged, 2)
+
+    def test_search_index_matches_scan(self):
+        scan, scan_engine = search(self.tmp, "revenue", use_index=False, use_rg=False)
+        idx, idx_engine = search(self.tmp, "revenue", use_index=True, use_rg=False)
+        self.assertEqual(idx_engine, "index")
+        self.assertEqual(scan_engine, "scan")
+        self.assertGreaterEqual(len(scan), 1)
+        self.assertEqual([h["path"] for h in scan], [h["path"] for h in idx])
+        self.assertEqual([h["score"] for h in scan], [h["score"] for h in idx])
+
+    def test_pack_index_matches_scan(self):
+        scan = pack(self.tmp, "tables/root.md", hops=1, max_nodes=8, use_rg=False, use_index=False)
+        idx = pack(self.tmp, "tables/root.md", hops=1, max_nodes=8, use_rg=False, use_index=True)
+        self.assertEqual(idx["reverse_index"], "index")
+        self.assertEqual(scan["reverse_index"], "scan")
+        self.assertEqual(
+            sorted(n["path"] for n in scan["nodes"]),
+            sorted(n["path"] for n in idx["nodes"]),
+        )
+        self.assertIn("/tables/neighbor.md", [n["path"] for n in idx["nodes"]])
+
+    def test_touch_reparses_one_file(self):
+        refresh(self.tmp, force=True)
+        target = self.tmp / "tables/root.md"
+        target.write_text(target.read_text(encoding="utf-8") + "\nmore\n", encoding="utf-8")
+        stats = refresh(self.tmp)
+        self.assertEqual(stats.parsed, 1)
+        self.assertEqual(stats.unchanged, 1)
+
+    def test_delete_drops_row(self):
+        refresh(self.tmp, force=True)
+        (self.tmp / "tables/neighbor.md").unlink()
+        stats = refresh(self.tmp)
+        self.assertEqual(stats.deleted, 1)
+        self.assertEqual(status(self.tmp)["nodes"], 1)
+
+    def test_drop_removes_sqlite(self):
+        refresh(self.tmp, force=True)
+        self.assertTrue(status(self.tmp)["present"])
+        self.assertTrue(drop_index(self.tmp))
+        self.assertFalse(status(self.tmp)["present"])
+
+    def test_no_json_index_written(self):
+        refresh(self.tmp, force=True)
+        self.assertFalse((self.tmp / ".index").exists())
+        self.assertTrue((self.tmp / ".dekc" / "index.sqlite").is_file())
+
+
+class TestDoctorToolchain(unittest.TestCase):
+    def test_doctor_reports_sqlite_index(self):
+        report = doctor(SAMPLE)
+        self.assertIn("toolchain", report)
+        self.assertIn("fts5", report["toolchain"]["sqlite"])
+        self.assertIn("index", report)
+        self.assertTrue(str(report["index"]["path"]).endswith("index.sqlite"))
+
+
+class TestSampleSearchCompat(unittest.TestCase):
+    def test_revenue_still_hits(self):
+        hits, engine = search(SAMPLE, "revenue", limit=5)
+        self.assertTrue(hits)
+        self.assertIn(engine, {"index", "rg", "scan"})
+
+
+if __name__ == "__main__":
+    unittest.main()