🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
Build a local question-answering system that retrieves and generates answers from documents using advanced techniques.
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Free · no card · unsubscribe anytime🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
Local_Pdf_Chat_RAG has 934 stars on GitHub. It has been forked 178 times. Local_Pdf_Chat_RAG is written mainly in Python. It has been in active development since 2025. Its main topics are bm25, chinese-nlp, deepseek, document-qa.
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
Local_Pdf_Chat_RAG is an open-source project.
Yes. Local_Pdf_Chat_RAG is free and open source — you can use, modify and self-host it.
Local_Pdf_Chat_RAG is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.