From ebd7ebda1c052063323c2ad502aaa023152b777d Mon Sep 17 00:00:00 2001 From: Vlasta Date: Mon, 21 Sep 2026 16:43:01 +0200 Subject: [PATCH] Update homepage intro and meta description for AI-focused positioning. Co-authored-by: Cursor --- pages/index.mdx | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/pages/index.mdx b/pages/index.mdx index f622c5872..71a1a92eb 100644 --- a/pages/index.mdx +++ b/pages/index.mdx @@ -1,6 +1,6 @@ --- title: Memgraph documentation -description: Discover the comprehensive Memgraph documentation and learn how to use the powerful graph database to its full potential. +description: Install, query, and deploy Memgraph, the in-memory graph database for GraphRAG, AI agents, and real-time analytics. Guides, references, and examples. --- import { Cards } from 'nextra/components' @@ -38,7 +38,10 @@ import {CommunityLinks} from '/components/social-card/CommunityLinks' # Memgraph Documentation Welcome to Memgraph Documentation.
-Memgraph is an open-source graph database built for streaming and compatible with Neo4j.
+Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows - delivering sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. + +The same architecture that makes Memgraph the context layer for AI also drives real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases where speed and connectivity matter. + Learn how to utilize Memgraph to migrate and analyze your data.