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With the introduction of our new backing algorithm and making rescoring easier with the rescore_vector API, let's mark bbq as GA.

Additionally, this commit adds rolling upgrade tests to ensure stability.

@benwtrent benwtrent added >feature auto-backport Automatically create backport pull requests when merged :Search Relevance/Vectors Vector search v9.0.0 v8.18.0 labels Jan 28, 2025
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Documentation preview:

@elasticsearchmachine elasticsearchmachine added the Team:Search Relevance Meta label for the Search Relevance team in Elasticsearch label Jan 28, 2025
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Pinging @elastic/es-search-relevance (Team:Search Relevance)

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Hi @benwtrent, I've created a changelog YAML for you.

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@pmpailis pmpailis left a comment

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🚀


NOTE: `int4` quantization requires an even number of vector dimensions.

NOTE: experimental:[] `bbq` quantization only supports vector dimensions that are greater than 64.
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missed an experimental marker on line 180

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@john-wagster john-wagster left a comment

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other than the 1 comment i left this LGTM

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@carlosdelest carlosdelest left a comment

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This LGTM.

I guess rescore_vector should be kept as tech preview, correct? Otherwise we need to change that in the docs

@benwtrent benwtrent added the auto-merge-without-approval Automatically merge pull request when CI checks pass (NB doesn't wait for reviews!) label Jan 29, 2025
@elasticsearchmachine elasticsearchmachine merged commit 038aab8 into elastic:main Jan 29, 2025
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@benwtrent benwtrent deleted the feature/ga-bbq branch January 29, 2025 14:58
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💚 Backport successful

Status Branch Result
8.x

elasticsearchmachine pushed a commit that referenced this pull request Jan 29, 2025
…1105) (#121190)

With the introduction of our new backing algorithm and making rescoring
easier with the `rescore_vector` API, let's mark bbq as GA. 

Additionally, this commit adds rolling upgrade tests to ensure
stability.
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auto-backport Automatically create backport pull requests when merged auto-merge-without-approval Automatically merge pull request when CI checks pass (NB doesn't wait for reviews!) >feature :Search Relevance/Vectors Vector search Team:Search Relevance Meta label for the Search Relevance team in Elasticsearch v8.18.0 v9.0.0

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5 participants