A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.
RagRabbit React SDK
A Model Context Protocol server for searching Svelte 5 documentation using OpenAI's Retrieval API
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.
Retrieval Augmented Generation (RAG) library for document indexing, vector storage, and AI-powered question answering
ReAI RAG,向量数据库，EMBEDDING，图谱
DataStax RAGStack for Javascript/Typescript
DataStax RAGStack CLI
一个MCP服务器实现，提供通过向量搜索检索和处理文档的工具，使得AI助手可以在其响应中增加相关文档内容。
基于 RAG 的文档搜索和管理的 MCP 服务器
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.
MCP server for RAG-based document search and management
A modular toolkit for building RAG (Retrieval-Augmented Generation) pipelines in Node.js
MCP server providing RAG capabilities for SCOM framework code generation
Client SDK for Memobase
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
> [!warning] > This package is still in **beta** and is subject to breaking changes. Use it with caution.
Node-RED nodes for interacting with the Supermemory.ai API
Model Context Protocol (MCP) server for seamless integration with Onyx AI knowledge bases