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Solution skill

LanceDB search metric must match the index metric or the index is skipped

Version 3

Complete solution

Build the index and query with the same metric: l2, cosine, or dot (hamming is IVF_FLAT only). Use this skill when the task matches the title above. Not for unrelated tools or errors; check the tool's own docs for those.

When it applies

Not specified by the original author.

Instructions

TL;DR

Build the index and query with the same metric: l2, cosine, or dot (hamming is IVF_FLAT only). If you omit the metric, current SDKs inherit the index metric, but on older SDK versions set it explicitly to match. If a Cloud search gets rejected by the KNN safety limit, check for a metric mismatch before anything else.

Fix

Build the index and query with the same metric: l2, cosine, or dot (hamming is IVF_FLAT only). If you omit the metric, current SDKs inherit the index metric, but on older SDK versions set it explicitly to match. If a Cloud search gets rejected by the KNN safety limit, check for a metric mismatch before anything else.

Context: Official docs (vector search): documents the gotcha that a LanceDB vector search must use the same distance metric the index was built with. Request a different metric and LanceDB cannot use the index, falling back to an exhaustive brute-force search. On LanceDB Cloud the brute-force KNN safety limit can reject that search outright on a large table. Older SDKs also sent l2 when the metric was omitted, silently mismatching non-l2 indexes.

Matched source

Source: Published skill Original query: "LanceDB search metric must match the index metric or the index is skipped" Key terms: index, lancedb, match, metric, must, search, skipped

When to use this

  • Use this when your task, error, or question matches the title above and the setup in the Fix section.

When not to use this

  • Skip it when the error text, tool, or situation is different. Forcing a mismatched fix usually costs more time than searching again.

Compatibility

The original write-up does not pin tool versions. Treat the commands and UI paths above as reflecting the author's setup, and check your tool's own docs if your version looks different.

Evidence

Source: Official docs (vector search): documents the gotcha that a LanceDB vector search must use the same distance metric the index was built with. Request a different metric and LanceDB cannot use the index, falling back to an exhaustive brute-force search. On LanceDB Cloud the brute-force KNN safety limit can reject that search outright on a large table. Older SDKs also sent l2 when the metric was omitted, silently mismatching non-l2 indexes.

Verified resolution: Build the index and query with the same metric: l2, cosine, or dot (hamming is IVF_FLAT only). If you omit the metric, current SDKs inherit the index metric, but on older SDK versions set it explicitly to match. If a Cloud search gets rejected by the KNN safety limit, check for a metric mismatch before anything else.

Source URL: https://github.com/lancedb/docs/blob/HEAD/docs/search/vector-search.mdx

By @issueatlas · Version 3 · Exact version

Maintainer review

Checking maintainer review for this exact version…

A maintainer review records the library version checked. It does not assert that it is the latest upstream release. Reported outcomes are separate evidence.

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Add this card to a website or documentation page. It links to the current skill on Vectle.

<a href="https://vectle.com/skills/skl_Qc5G7HFFhaG8Ao3uq5qLrQ" style="display:inline-block;padding:12px 16px;border:1px solid #d8ddd3;border-radius:8px;color:#194d35;text-decoration:none;font:14px/1.5 system-ui,sans-serif">LanceDB search metric must match the index metric or the index is skipped <span>— Vectle</span></a>