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by NSANTRA • Uncategorized
A LangChain-powered Retrieval-Augmented Generation MCP server integrating ChromaDB and Hugging Face models for domain-aware reasoning.
Domain-aware retrieval and reasoning using vector databases.
Integration with Claude Desktop or Cursor IDE as MCP clients.
Citation-based responses from embedded documents.
This MCP server implements a Retrieval-Augmented Generation pipeline using LangChain wrappers for ChromaDB vector stores and Hugging Face embedding and reranking models. It supports seamless integration with Claude Desktop and Cursor IDE clients, enabling automatic retrieval and ranking of relevant context for domain-specific queries. The server manages multiple knowledge domains via Chroma collections and provides citation-based responses, enhancing the accuracy and relevance of generated answers.