Does Cf-AutoRAG support searching across multiple AutoRAG instances?

Yes, version 2.0.0 and later supports managing and searching across multiple Cloudflare AutoRAG instances, enabling a unified search experience.

Cf-AutoRAG is a Model Context Protocol (MCP) server that allows AI assistants to search and query Cloudflare AutoRAG knowledge bases using different search methods.

How do I deploy Cf-AutoRAG?

You can deploy Cf-AutoRAG to Cloudflare Workers using Wrangler CLI. Configuration involves setting up your AutoRAG instance name and deploying the worker.

Is Cf-AutoRAG compatible with Claude?

Yes, Cf-AutoRAG is compatible with Claude Desktop and other Model Context Protocol (MCP) clients, enabling seamless integration for enhanced AI interactions.

What search methods are supported?

Cf-AutoRAG offers basic vector search, AI-powered query rewriting search, and full AI search with optional response generation.

Cf-AutoRAG

Name: Cf-AutoRAG
Author: noops888

bynoops888

•

Ciencia de Datos y ML

Infraestructura en la Nube

Otros

Enables AI assistants to search and query Cloudflare AutoRAG knowledge bases using various search methods.

Cf-AutoRAG is a Model Context Protocol (MCP) server designed to provide search capabilities for Cloudflare AutoRAG instances. It allows AI assistants like Claude to directly search and query your AutoRAG knowledge base using basic vector similarity search, AI query rewriting, and full AI-powered search with optional AI-generated responses. The server supports configurable parameters, pagination for large result sets, and management of multiple AutoRAG instances, making it a versatile solution for integrating AI search into your workflows.

Características Principales

01Compatible with Claude Desktop and other MCP clients

02Includes pagination for AI search to handle large result sets

03Supports configurable parameters like score threshold and maximum results

043 GitHub stars

05Enables managing and searching across multiple AutoRAG instances

06Offers basic, rewrite, and AI-powered search methods

Casos de Uso

01Integrating AutoRAG knowledge bases with AI assistants like Claude

02Providing AI-generated responses based on retrieved documents

03Enhancing search functionality with AI query rewriting