Rag Packages

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

MCP server for RAG-based document search and management

Markdown Content Preprocessor - Fetch web pages, extract content, convert to clean Markdown

> [!warning] > This package is still in **beta** and is subject to breaking changes. Use it with caution.

An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.

MCP server providing RAG capabilities for SCOM framework code generation

Client SDK for Memobase

A Model Context Protocol server for searching Svelte 5 documentation using OpenAI's Retrieval API

Model Context Protocol (MCP) server for seamless integration with Onyx AI knowledge bases

[](https://smithery.ai/server/@pbteja1998/sourcesyncai-mcp)

A Model Context Protocol server for Prem AI - enables AI assistants to interact with Prem's ecosystem for chat completions and RAG capabilities.

An MCP Server for RAG Web Browser Actor

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.

An MCP server that scrapes websites, indexes content into Qdrant, and provides a query tool.

RAG (Retrieval-Augmented Generation) library for NestJS with vector database integration

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.

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.