RAG Semantic Search Engine

Example Use Cases

• 1

  Crawl and index website content quickly and efficiently.

• 2

  Perform semantic search across multiple themed collections.

• 3

  Manage and organize complex content collections.

Description

RAG Retriever is a modular system designed for crawling websites, indexing their content, and offering AI-powered semantic search capabilities. It integrates with MCP servers for direct access via AI assistants like Claude Code, using OpenAI embeddings and ChromaDB for vector storage. It supports advanced web crawling, semantic search, collection management, and is equipped with interfaces such as CLI, Web UI, and MCP Server for diverse use cases.