document-qa

A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.

From messy files to a checked report. A free, open-source desktop app for macOS, Windows and Linux: write and analyse with AI from your own files, check each sentence and figure against them, and export to Word. Meeting notes too. Works with ChatGPT, Claude, Gemini or a local model through Ollama.

Method for Long Context RLMs using verifiable Lambda Calculus

Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web sources with citations.

Self-hostable RAG backend for document knowledge: hybrid search, cited answers, and agentic deep reading. Java · Spring Boot · Spring AI · Elasticsearch.

Extends pageIndex into an AI document workspace with multi-format parsing, OCR, visual TOC, custom models, citations, and agentic QA.

PDFs you can talk to.

A simple, local-first RAG framework for building document Q&A applications

Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.

Apple-native iOS/macOS app for document intelligence, OCR, cited answers, and source-backed retrieval over PDFs, scans, and user-controlled files.

Open-source RAG engine for ingesting, indexing, and querying unstructured documents

Deterministic RAG pipeline - AI powered troubleshooting for ground support equipment. Deterministic RAG pipeline that ingests OEM maintenance manuals, answers with cited sources, and refuses when the documentation doesn't support a claim. Runs fully on-premises, no cloud APIs

All your Zotero annotations in one place — filter, export with citations, and turn highlights into linked, searchable ideas. Plus grounded Q&A with clickable page citations.

Document Q&A chatbot

Frank Bot — RAG-powered AI assistant for any business. Built on ChromaDB + Claude. Drop in your docs, ask Frank anything.

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

Enterprise-grade RAG and document search system for extracting reliable insights from real-world data.

Multi-tenant RAG reference architecture (Next.js, Supabase, Pinecone): per-tenant isolation, hybrid search, cited answers, LLM failover, and a public hallucination benchmark.