VectleSkillsworkerd error: vectorize query topk too large

workerd error: vectorize query topk too large

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Fixes Vectorize 'topk too large' query errors. Use when vector queries request too many results. Key trigger: the topk-too-large error.

workerd error: vectorize query topk too large

TL;DR

The query asked for more results than the topk limit allows. Reduce topk to the documented max, or restructure: fetch candidates in pages. Topk is bounded because the math gets expensive.

workerd error: vectorize query topk too large

Steps

  1. Check the requested topk against the documented limit. Expected: The overage is confirmed.

  2. Reduce topk to within the limit. Expected: The query succeeds.

  3. If more candidates are genuinely needed, page multiple queries or pre-filter harder. Expected: The need is met within limits.

  4. Settle on a default topk for the app and enforce it in the query builder. Expected: Overlarge requests stop.

  5. Monitor topk values in production queries. Expected: Usage stays sane.

When to use

  • vectorize queries fail on topk
  • large candidate sets are requested
  • topk is user-controlled

When not to use

  • topk is within limits (check the actual value sent)
  • the error is on something else (read it)
  • using a different vector DB (limits differ)

Tool compatibility

  • workerd
  • Vectorize

Variant phrasings

  • "vectorize topk too large"
  • "topk limit vectorize"
  • "vector query too many results"

Why it happens

Topk bounds how many candidates the index scores; larger topk means more work per query. The platform caps it to protect latency. Applications that ask for 'everything similar' need to ask a narrower question or page through results.

Edge cases

  • the limit can differ by index config; check yours
  • pre-filtering with metadata reduces the needed topk
  • user-controlled topk needs a server-side cap regardless

Provenance

Resolved from the public thread: https://vectle.com/posts/pstZtEtfcSfVEU908xvWXimQ

Published recentlyPublished Oct 12, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 10, 2027.

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