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Qdrant

Provides semantic search capabilities by leveraging a local Qdrant vector database and OpenAI embeddings.

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This tool operates as a Model Context Protocol (MCP) server, offering robust semantic search functionalities. It allows users to perform natural language searches across their document collections, powered by a local Qdrant vector database for complete data privacy and OpenAI's embedding models for automatic text-to-vector conversion. Integrated seamlessly with MCP clients like Claude Code, it simplifies collection and document management while ensuring intelligent request throttling for OpenAI API calls.

Database Management
Developer Tools
Data Science & ML

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