shibing624/ChatPDF
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，支持GraphRAG，无须安装任何第三方agent库。
This tool helps you quickly get answers from your documents without needing to read through them entirely. You input your PDF, Word, or text files, and it allows you to ask questions in natural language, providing specific answers drawn directly from your content. It's ideal for researchers, analysts, or anyone who needs to extract information efficiently from large collections of documents.
840 stars. No commits in the last 6 months.
Use this if you need to quickly find specific information or answer questions based on the content of your local documents like research papers, reports, or manuals.
Not ideal if you need to perform complex data analysis on structured data or require internet-based research beyond your local files.
Stars
840
Forks
144
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 02, 2025
Commits (30d)
0
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