RAG & Knowledge
knowledge-agent-template
Starter template for AI agents that stay synced with your knowledge base.
★ 1.1k starsMIT
View guide →Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Local_Pdf_Chat_RAG is an open-source rag & knowledge project by weiwill88 (weiwill88/Local_Pdf_Chat_RAG on GitHub). It has 957 GitHub stars and 180 forks, is released under the MIT license, and was last updated on GitHub on 31 August 2026.
The README documents setup; start with the install section.
Decide what you want Local_Pdf_Chat_RAG to do first — transparent Python RAG reference with FAISS + BM25 hybrid retrieval, r.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working bm25 support built in.
Working chinese nlp support built in.
Working deepseek support built in.
Working document qa support built in.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/weiwill88/Local_Pdf_Chat_RAG.git
cd local-pdf-chat-ragInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Start with the README, then the issue tracker on the GitHub repo at weiwill88/Local_Pdf_Chat_RAG, where maintainers and users answer questions.
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