Local-first RAG platform for technical document libraries. Features FastAPI, ChromaDB, and active retrieval (FLARE) powered by Ollama.
Transform uncertainty into absolute confidence.
Review selected documents with inspectable source citations and a traceable human review record
Production-grade document-intelligence RAG agent template — AWS Bedrock Knowledge Bases, OpenSearch-backed metadata/audit, dual-mode JWT + Azure AD SSO, multi-team isolation, and LibreOffice document conversion. Advanced tier of the Document Intel Agent Template family.
Transform PDFs into searchable knowledge with AI. Local-first browser app with intelligent document processing, semantic search, and multi-provider AI chat (Groq, Gemini, Claude, Perplexity). No backend required - 100% client-side with IndexedDB storage.
One canonical schema for every document parser. Engine-agnostic adapters for Docling, Tesseract, and PaddleOCR — swap OCR/layout engines without rewriting your pipeline. Built for RAG and LLM document ingestion.
Intel Nexus – An enterprise-grade document intelligence platform that ingests PDFs, extracts structured knowledge (text, tables, images), and enables semantic search & RAG-based querying using FastAPI, Streamlit, and modern AI pipelines.
Production-grade HR document intelligence system built on n8n, Pinecone, OpenAI, and PostgreSQL. Automatically detects and processes multiple files from a Google Drive folder, then answers natural-language queries against your HR documents with cited, confidence-scored responses — complete with query logging, caching, and error handling.
Local Multi-Agent Document Intelligence Platform RAG-based system using FastAPI, LangGraph, Qdrant, Ollama, and Next.js 15 for document extraction, table parsing, and Q&A with anti-hallucination.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
Urdu pdf OCR + Translate Urdu pdf to English + Ask Question from given pdf in Urdu/English
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
Production-grade banking document processing pipeline using Azure AI Document Intelligence, GPT-4o, and OpenCV. Extracts structured data from cheques, invoices, KYC forms, ID cards, and trade finance documents with KYC/AML compliance validation. Deployable as Azure Web App
A high-performance, production-grade pre-LLM document intelligence operating system that transforms unstructured documents into synchronized mathematical representations to build budget-aware, optimized context for AI agents.
Leverage Azure AI Document Intelligence to extract text, tables, and key data from complex forms and automatically update your enterprise database.
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