Qdrant-OpenAI
Createdamansingh0311
Enables semantic search in Qdrant vector databases using OpenAI embeddings.
About
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.
Key Features
- Supports customizable search limits and OpenAI embedding models
- Performs semantic search using OpenAI embeddings
- Lists available Qdrant collections
- Retrieves information about specific collections
- Integrates with MCP CLI and Claude Desktop
Use Cases
- Searching document collections for relevant information using natural language queries.
- Analyzing and understanding relationships between data points stored as vectors.
- Integrating vector search capabilities into Claude Desktop workflows.
