Introducing AutoRAG: fully managed Retrieval-Augmented Generation on Cloudflare

What this post added

Introduces AutoRAG, a fully managed Retrieval-Augmented Generation (RAG) pipeline powered by Cloudflare's developer platform. AutoRAG simplifies RAG pipeline creation by handling data ingestion, chunking, embedding, vector storage in Vectorize, semantic retrieval, and response generation using Workers AI. It features continuous background indexing and monitoring of data sources. The post details the indexing process (file ingestion from R2, Markdown conversion via Workers AI, chunking, embedding, Vectorize storage) and the querying process (query reception, optional query rewriting, query embedding, Vectorize search, metadata/content retrieval, response generation). It also provides a tutorial on using the Browser Rendering API with a Worker to fetch web pages and store them in R2 for AutoRAG.