关键词 "RAG orchestration" 的搜索结果, 共 24 条, 只显示前 480 条
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.
Mirror of
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
A directory of AI Agents and MCP Orchestration open source tools
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
Ragie Model Context Protocol Server
A specialized RAG gateway providing language models with Cardano blockchain knowledge. Enables AI assistants to access documentation, validate smart contracts, understand UTXO patterns, and discover d
An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality
MCP server for RAG-based document search and management
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contex
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
MCP Server implementation for RapidAPI Global Patent API integration with SQLite storage
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