#183 · Primary category： Knowledge Base & RAG
chatdocs
Chat with your documents offline using AI.
Project last updated：09/29/23
GitHub Stars
737
Forks
107
Contributors
3
License
MIT
Why we included this project
ChatDocs keeps document Q&A fully offline: after a one-time install and model download, no data leaves your machine. You point it at a folder of PDFs, Word files, or Markdown, and it builds a local vector index you can query from a browser UI or a command-line chat. It follows the same retrieval-plus-generation pattern as PrivateGPT but adds support for GGML/GGUF, Transformers, and GPTQ models, so you can pick one that fits your hardware. Teams that want a self-contained setup and are comfortable editing the chatdocs.yml config will find it a practical starting point.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Understand-Anything
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
docling
Get your documents ready for gen AI
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience