Manages Qdrant vector database collections and performs semantic searches using various embedding services.
Sponsored
Better Qdrant is a Model Context Protocol (MCP) server designed to enhance the functionality of Qdrant vector databases. It provides a suite of tools for managing collections, adding documents, and executing semantic searches. The server supports multiple embedding services including OpenAI, OpenRouter, Ollama, and FastEmbed, offering flexibility and choice in how documents are processed and indexed. Integration with Claude is streamlined through MCP settings configuration, making it a versatile solution for managing and querying vector embeddings.
主要功能
01Add documents to collections with various embedding services
02Supports OpenAI, OpenRouter, Ollama, and FastEmbed for embeddings
03Perform semantic searches
04List Qdrant collections
05Delete collections
使用案例
01Performing semantic searches across Qdrant collections.
02Integrating Qdrant vector database with Claude.
03Adding and managing documents to a Qdrant collection.
