Original text is not available for public display.
Vectorize - Return up to 50 query results with values or metadata
Cloudflare Developer Platform Changelog · 2026-03-16
Related items
Vectorize - Vectorize indexes now support up to 10 million vectors
You can now store up to 10 million vectors in a single Vectorize index, doubling the previous limit of 5 million vectors. This enables larger-scale semantic search, recommendation systems, and retrieval-augmented generation (RAG) applications without splitting data across multiple indexes. Vectorize continues to sup...
AI Gateway - Log AI Gateway request metadata without storing payloads
AI Gateway now supports the cf-aig-collect-log-payload header, which controls whether request and response bodies are stored in logs. By default, this header is set to true and payloads are stored alongside metadata. Set this header to false to skip payload storage while still logging metadata such as token counts,...
Vectorize - List all vectors in a Vectorize index with the new list-vectors operation
You can now list all vector identifiers in a Vectorize index using the new list-vectors operation. This enables bulk operations, auditing, and data migration workflows through paginated requests that maintain snapshot consistency. The operation is available via Wrangler CLI and REST API. Refer to the list-vectors be...
AI Search - View custom metadata in responses and guide AI-search with context in AutoRAG
In AutoRAG , you can now view your object's custom metadata in the response from /search and /ai-search , and optionally add a context field in the custom metadata of an object to provide additional guidance for AI-generated answers. You can add custom metadata to an object when uploading it to your R2 bucket. Objec...
AI Search, Vectorize - Create fully-managed RAG pipelines for your AI applications with AutoRAG
AutoRAG is now in open beta, making it easy for you to build fully-managed retrieval-augmented generation (RAG) pipelines without managing infrastructure. Just upload your docs to R2 , and AutoRAG handles the rest: embeddings, indexing, retrieval, and response generation via API. With AutoRAG, you can: Customize you...
AI Gateway - Request timeouts and retries with AI Gateway
AI Gateway adds additional ways to handle requests - Request Timeouts and Request Retries , making it easier to keep your applications responsive and reliable. Timeouts and retries can be used on both the Universal Endpoint or directly to a supported provider . Request timeouts A request timeout allows you to trigge...