# Semantic retrieval

Brain Server is a knowledge embedding and vector search service based on the MCP protocol, providing high-quality text vectorization, semantic search, and knowledge management functions, supporting multiple embedding models and Docker deployment.

A document search and retrieval server based on the Model Context Protocol (MCP), supporting local storage and Confluence integration, providing semantic search functionality, and allowing for the expansion of multiple document services.

An MCP protocol server based on TypeScript that provides semantic search functionality for Hex package documentation and can be seamlessly integrated with AI tools.

Zed's PDF semantic search extension, integrating an AI assistant to enhance document processing capabilities

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

The Onyx MCP Server is a Model Context Protocol server that seamlessly connects the Onyx AI knowledge base with MCP - compatible clients, providing semantic search, context retrieval, and chat integration functions.