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Feature•Aug 4, 2026

Vectorize indexes now support up to 20 million vectors

VectorizeCloudflare · Developer platform

You can now store up to 20 million vectors in a single Vectorize index, doubling the previous limit of 10 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 support indexes with up to 1,536 dimensions per vector at 32-bit precision. Refer to the Vectorize limits documentation for complete details.

Read the original announcement↗

More from Vectorize

All Vectorize updates →
  1. Reduced end-to-end latency for vector changes

    We have greatly improved the throughput of the Vectorize write-ahead log (WAL). As a result, we have significantly reduced the end-to-end latency for a vector change to become queryable: median latency has dropped from 2 minutes to under 30 seconds, and p99 latency from 5…

    Vectorize•Feature•Jul 1, 2026
  2. Billable usage and budget alerts now in product sidebars

    Pay-as-you-go customers can now view billable usage and create budget alerts directly from the product overview pages for Workers & Pages, D1, R2, Workers KV, Queues, Vectorize, Durable Objects, and Containers.

    Vectorize•Feature•Jun 4, 2026
  3. Return up to 50 query results with values or metadata

    You can now set topK up to 50 when a Vectorize query returns values or full metadata. This raises the previous limit of 20 for queries that use returnValues: true or returnMetadata: "all".

    Vectorize•Feature•Mar 16, 2026
  4. 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.

    Vectorize•Feature•Jan 23, 2026