Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies Document Ingestion: Automatically chunks and embeds documents for storage Semantic Search: Query documents using natural language with sentence…
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A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies Document Ingestion: Automatically chunks and embeds documents for storage Semantic Search: Query documents using natural language with sentence embeddings Persistent Storage: Indexes and metadata are saved to disk MCP Compatible: Works with any…