# Semantic Search

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

The Meilisearch Hybrid Search MCP service provides a hybrid search function that combines keywords and semantic vectors.

An implementation of the MCP server based on txtai, providing semantic search, knowledge graph, and AI text processing functions, supporting local knowledge base construction and standardized interface access.

MEMEX is a knowledge management server based on the MCP protocol, used to manage technical guides and AI context, providing functions for creation, search, update, and deletion, and supporting semantic search and integration with Claude AI

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

An MCP server that provides email processing capabilities, integrating MongoDB semantic search and SQLite efficient storage

An MCP server for expanding the context window/memory of AI agents, supporting storage, retrieval, and management of memories, including semantic search functionality.

An MCP server that provides semantic search and resource access for the Obsidian knowledge base

A YouTube MCP server project that provides video search, subtitle extraction, and semantic search functions, and supports integration with AI clients.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions for large language models, including a tiered memory architecture, multiple memory types, and semantic search features.

MCPverse is a semantic - search - based discovery engine for GitHub MCP servers, implementing natural - language search functionality using OpenAI embeddings and OpenSearch.

An implementation of the MCP Server based on txtai, providing semantic search, knowledge graph, and AI text processing functions.

A document indexing system based on PostgreSQL and pgvector, supporting AI - driven semantic search, including functions for crawling, processing, and querying documents.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

The Jina AI MCP Server is a Model Context Protocol server that provides semantic search, image search, and cross-modal search functions, supporting seamless integration with Jina AI's neural search capabilities.

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

An MCP service for semantic search and memory management based on txtai, providing context memory capabilities for AI assistants

A local code indexing and semantic search tool

Hanzo MCP is an AI service platform based on the Model Context Protocol, providing capabilities for code analysis, modification, project management, and integration with multiple development tools.

A memory server implementing the Model Context Protocol (MCP), providing persistent memory storage and retrieval functions based on a knowledge graph for large language models.

CodeGraph CLI is a high-performance MCP server management tool that provides code repository indexing, semantic search, and architecture analysis functions, supporting multi-language parsing and vector search.

A hybrid retrieval and navigation tool for RimWorld source code and XML definitions, combining lexical, semantic, and graph structures, supporting AI assistant calls

An MCP server for storing, searching, and managing code snippets, supporting semantic search and keyword matching, without a database, and using JSON for storage.

Memento is a knowledge graph memory system based on SQLite, providing persistent memory functions, supporting full - text retrieval and semantic search, and realizing intelligent context retrieval through BGE - M3 embedding. It is suitable for technical and creative project management.

An Obsidian plugin that provides local MCP server capabilities, enabling external applications to interact with the Obsidian library through standardized interfaces, including file operations, semantic search, etc.

An MCP service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

A knowledge base retrieval tool based on the MCP server, supporting semantic search and content management.

An MCP server that provides file semantic search functionality, enabling intelligent retrieval of document contents through vector embedding

The Jina AI MCP server is a Model Context Protocol service that provides semantic search, image search, and cross-modal search functions, supporting seamless integration with Jina AI's neural search capabilities.