RAG
Createdmytechnotalent
Enables semantic PDF search with Retrieval-Augmented Generation (RAG) capabilities within an MCP client.
About
RAG is a Retrieval-Augmented Generation-ready server designed for use with MCP (Multi-Client Platform) clients. It facilitates semantic PDF searching by combining OCR (Optical Character Recognition), FAISS (Facebook AI Similarity Search), and transformer models. By plugging into any MCP client, it allows users to retrieve intelligent answers from PDF documents directly within their client environment.
Key Features
- Transformer models for enhanced understanding
- OCR support for extracting text from PDFs
- Semantic PDF search
- RAG-enabled intelligent answer retrieval
- 1 GitHub stars
- FAISS integration for efficient similarity search
Use Cases
- Integrating semantic PDF search into an existing MCP client
- Retrieving answers from PDFs within Claude desktop
- Retrieving answers from PDFs within Cursor