vincentkoc/airgapped-offfline-rag

Question and Answer based on Anything.

📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy

On-premises conversational RAG with configurable containers

🚀 100% local RAG system with one-command setup. Your data never leaves your server.

Local document Q&A in your terminal — powered by on-device LLMs.

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Yes, it's another chat over documents implementation... but this one is entirely local!

DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline.

A starter kit to build *local-only* AI apps that cost $0 to run -- starting with document Q&A. Written in Javascript