A LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
Deploy a question-and-answer system on your laptop that uses a local knowledge base for smart responses.
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Free · no card · unsubscribe anytimeA LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
ThinkRAG has 347 stars on GitHub. It has been forked 55 times. ThinkRAG is written mainly in Python. It has been in active development since 2024. ThinkRAG is available under the MIT license. Its main topics are baai, chatbot, chromadb, deepseek.
A LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
ThinkRAG is an open-source project. It is released under the MIT license.
Yes. ThinkRAG is free and open source — you can use, modify and self-host it.
ThinkRAG is available under the MIT license.
ThinkRAG is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.