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Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
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This powerful system facilitates efficient document retrieval by leveraging vector search. It intelligently ingests and chunks markdown documents, preserving their hierarchical structure, then generates high-quality contextual embeddings using Voyage AI's API. These documents and their corresponding embeddings are stored in MongoDB with parent-child relationships, enabling advanced semantic search. The tool offers a FastMCP server, allowing seamless integration with MCP clients for comprehensive document search capabilities, and supports flexible configuration of vector dimensions and chunking strategies.
Database Management
Learning & Documentation
Data Science & ML
