RAG Packages

> [!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.

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

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

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

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

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

A NodeJS RAG framework to easily work with LLMs and custom datasets

Node.js client for Chunkr API

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.

SDK for interacting with RagFlow API

RagRabbit React SDK

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.

ReAI RAG,向量数据库，EMBEDDING，图谱

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。