wzdavid/ThinkRAG
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。企业级SaaS版本请访问：
This tool helps professionals, researchers, and students get answers to questions using their own documents and web pages. You feed it your PDFs, DOCX files, PPTX files, or web links, and it processes them to provide relevant answers to your queries. The system runs entirely on your laptop, ensuring all your sensitive information stays private and local.
319 stars.
Use this if you need to quickly find information and get summarized answers from your own collection of documents or web pages without uploading them to a third-party service.
Not ideal if you require a multi-user, cloud-based solution with advanced collaboration features or if you are using a Windows operating system, as there are known issues.
Stars
319
Forks
50
Language
Python
License
MIT
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/wzdavid/ThinkRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
swirlai/swirl-search
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge...
brevia-ai/brevia
Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information...
thinkany-ai/rag-search
RAG Search API
sankalp1999/code_qa
RAG on codebases using treesitter and LanceDB
constacts/milvus-clj
Clojure libraray for Milvus