Enables semantic search in Qdrant vector databases using OpenAI embeddings.
This tool provides vector search capabilities by leveraging Qdrant vector database and OpenAI embeddings. It allows users to perform semantic searches, list available collections, and view collection information within a Qdrant instance. The server is configured using environment variables for the OpenAI API key and Qdrant URL, and offers tools for querying collections with natural language.
主要功能
01Supports customizable search limits and OpenAI embedding models
02Performs semantic search using OpenAI embeddings
03Lists available Qdrant collections
04Retrieves information about specific collections
05Integrates with MCP CLI and Claude Desktop
使用案例
01Searching document collections for relevant information using natural language queries.
02Analyzing and understanding relationships between data points stored as vectors.
03Integrating vector search capabilities into Claude Desktop workflows.
