关键词 "RAG" 的搜索结果, 共 24 条, 只显示前 480 条
MCP Server leveraging crawl4ai for web scraping and LLM-based content extraction (Markdown, text snippets, smart extraction). Designed for AI agent integration.
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your docum
Mirror of
This is a MCP server I built to interact with my hybrid graph rag db.
A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
💬 MaxKB is an open-source AI assistant for enterprise. It seamlessly integrates RAG pipelines, supports robust workflows, and provides MCP tool-use capabilities.
This project provides a dedicated MCP (Model Context Protocol) server that wraps the @google/genai SDK. It exposes Google's Gemini model capabilities as standard MCP tools, allowing other LLMs (like C
Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
A Model Context Protocol (MCP) server implementation for RAG
A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed as an MCP server.
Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), allowing AI assistants to interact with persistent storage for tasks. This enables AI models to maintain context
A Model Context Protocol (MCP) server for PayPal API integration with improved error handling, comprehensive API coverage, and detailed documentation.
✔ TypeScript + Node.js für den MCP-Server ✔ LLM Studio API zur Beantwortung optimierter Fragen ✔ Dynamische Prompt-Optimierung
A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across m
MCP Memory Server with Neo4j backend for AI knowledge graph storage
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
A TypeScript MCP server that leverages the MCP SDK to support all Ethereum JSON-RPC calls, enabling AI models to interact with blockchain data.
Execute SQL queries and manage databases seamlessly with Timeplus. Leverage powerful tools to interact with your data, Kafka topics, and Iceberg tables efficiently. Enhance your data workflows with a
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentati
只显示前20页数据,更多请搜索
Showing 361 to 384 of 429 results