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by TanmayRawal • Uncategorized
An MCP server enabling Claude Desktop to answer questions from private document collections using Retrieval-Augmented Generation.
Answer questions based on private PDF document collections.
That require source-grounded, non-hallucinated answers from indexed documents.
Integrate document Q&A capabilities into Claude Desktop via MCP.
This MCP server implements a Retrieval-Augmented Generation pipeline that indexes PDFs semantically and allows Claude Desktop to query them in real-time. It uses FAISS for vector similarity search, Sentence Transformers for embeddings, and Groq LLaMA for fast, source-grounded answer generation. The server provides a Streamlit chat interface for interactive querying and supports adjustable retrieval depth to improve answer relevance.