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The Orange Cloud Report

Developer platform (ETI)

AI Search

Score: 4/10

Managed RAG in a box — still early, still rough.

Last updated

AI Search (formerly AutoRAG) promises the whole retrieval-augmented-generation pipeline as a managed service: point it at your content (R2 buckets, websites), it handles chunking, embedding, indexing, and gives you a query API that returns grounded answers. The ambition is right — most teams should not be building bespoke RAG pipelines.

Today it feels early. The indexing pipeline is opaque when results are bad (and debugging “why didn’t it retrieve the right chunk” is the entire job in RAG), configuration knobs are limited, and it leans on Workers AI models — inheriting the reliability concerns I’ve scored elsewhere.

For an internal docs-search bot where mediocre answers are acceptable, it’s a fast win. For anything customer-facing, I’d wait a few more quarters and watch the changelog.