F
licenseNot graded
qualityD
maintenanceEnables RAG (Retrieval-Augmented Generation) capabilities with document processing, vector storage, and intelligent Q\&A using OpenAI embeddings and semantic search.
FAQ RAG MCP Server
by rhamsagar-sf
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- FlicenseNot gradedqualityDmaintenanceEnables answering natural-language questions from FAQ documents using vector search and LLM generation via an MCP tool.
- FlicenseNot gradedqualityDmaintenanceEnables semantic search and document retrieval from OpenAI Vector Store, allowing users to search documents using natural language queries and fetch complete document contents through ChatGPT.
- FlicenseNot gradedqualityCmaintenanceEnables searching a knowledge base and asking grounded questions with hybrid retrieval, reranking, and cited answers.
- AlicenseBqualityNot gradedmaintenanceEnables semantic search across multiple knowledge datasets using FAISS vector embeddings, allowing natural language queries to find relevant documents with fast retrieval.21
- AlicenseBqualityDmaintenanceEnables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.1Apache 2.0
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