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Mark Token Pruning for Sparse Vector as GA #128854
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Pinging @elastic/es-docs (Team:Docs) |
Pinging @elastic/search-eng (Team:SearchOrg) |
Hi @markjhoy, I've created a changelog YAML for you. Note that since this PR is labelled |
Pinging @elastic/search-relevance (Team:Search - Relevance) |
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LGTM
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Looks good, just need to clean up a couple issues of release notes and fix the build.
Could you please also open a PR to mark this as stable in the spec? See: https://github.com/elastic/elasticsearch/pull/125302/files
Thanks!
@kderusso - what spec are you referring to? |
NOTE: do not merge this yet - wait at least until #126739 is merged, and we consult appropriate stakeholders |
@@ -63,21 +63,21 @@ GET _search | |||
: (Optional, dictionary) A dictionary of token-weight pairs representing the precomputed query vector to search. Searching using this query vector will bypass additional inference. Only one of `inference_id` and `query_vector` is allowed. | |||
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`prune` |
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`prune` | |
`prune` {applies_to}`stack: preview 9.0, ga 9.1` |
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Same applies for all, placing this applies_to tag after each
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Will need to update the applies_to
versioning metadata before we can merge, thanks :)
A docs change to remove the [preview] labels for the token pruning configuration items for the Sparse Vector query as we get ready to put these into GA.