ThinkRAG and rag-api
Maintenance
10/25
Adoption
10/25
Maturity
16/25
Community
20/25
Maintenance
0/25
Adoption
4/25
Maturity
16/25
Community
13/25
Stars: 319
Forks: 50
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 7
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
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About ThinkRAG
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.
knowledge-management
personal-research
document-qa
information-retrieval
offline-data-analysis
About rag-api
iamarunbrahma/rag-api
RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.
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