[Obs AI Assistant] Use architecture-specific elser model #205851
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) Closes elastic#205852 When installing the Obs knowledge base it will always install the model `.elser_model_2`. For Linux with an x86-64 CPU an optimised version of Elser exists (`elser_model_2_linux-x86_64`). We should use that when possible. After this change the inference endpoint will use `.elser_model_2_linux-x86_64` on supported hardware:  (cherry picked from commit ad3b988)
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) Closes elastic#205852 When installing the Obs knowledge base it will always install the model `.elser_model_2`. For Linux with an x86-64 CPU an optimised version of Elser exists (`elser_model_2_linux-x86_64`). We should use that when possible. After this change the inference endpoint will use `.elser_model_2_linux-x86_64` on supported hardware:  (cherry picked from commit ad3b988)
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) (#205978) # Backport This will backport the following commits from `main` to `8.17`: - [[Obs AI Assistant] Use architecture-specific elser model (#205851)](#205851) <!--- Backport version: 9.6.3 --> ### Questions ? Please refer to the [Backport tool documentation](https://github.com/sorenlouv/backport) <!--BACKPORT [{"author":{"name":"Søren Louv-Jansen","email":"[email protected]"},"sourceCommit":{"committedDate":"2025-01-08T18:59:20Z","message":"[Obs AI Assistant] Use architecture-specific elser model (#205851)\n\nCloses https://github.com/elastic/kibana/issues/205852\n\nWhen installing the Obs knowledge base it will always install the model\n`.elser_model_2`.\nFor Linux with an x86-64 CPU an optimised version of Elser exists\n(`elser_model_2_linux-x86_64`). We should use that when possible.\n\nAfter this change the inference endpoint will use\n`.elser_model_2_linux-x86_64` on supported hardware:\n\n","sha":"ad3b9880c792833e7590a60d57b65e08ecbd9b25","branchLabelMapping":{"^v9.0.0$":"main","^v8.18.0$":"8.x","^v(\\d+).(\\d+).\\d+$":"$1.$2"}},"sourcePullRequest":{"labels":["release_note:fix","v9.0.0","Team:Obs AI Assistant","backport:version","v8.18.0","v8.17.1"],"title":"[Obs AI Assistant] Use architecture-specific elser model","number":205851,"url":"https://github.com/elastic/kibana/pull/205851","mergeCommit":{"message":"[Obs AI Assistant] Use architecture-specific elser model (#205851)\n\nCloses https://github.com/elastic/kibana/issues/205852\n\nWhen installing the Obs knowledge base it will always install the model\n`.elser_model_2`.\nFor Linux with an x86-64 CPU an optimised version of Elser exists\n(`elser_model_2_linux-x86_64`). We should use that when possible.\n\nAfter this change the inference endpoint will use\n`.elser_model_2_linux-x86_64` on supported hardware:\n\n","sha":"ad3b9880c792833e7590a60d57b65e08ecbd9b25"}},"sourceBranch":"main","suggestedTargetBranches":["8.17"],"targetPullRequestStates":[{"branch":"main","label":"v9.0.0","branchLabelMappingKey":"^v9.0.0$","isSourceBranch":true,"state":"MERGED","url":"https://github.com/elastic/kibana/pull/205851","number":205851,"mergeCommit":{"message":"[Obs AI Assistant] Use architecture-specific elser model (#205851)\n\nCloses https://github.com/elastic/kibana/issues/205852\n\nWhen installing the Obs knowledge base it will always install the model\n`.elser_model_2`.\nFor Linux with an x86-64 CPU an optimised version of Elser exists\n(`elser_model_2_linux-x86_64`). We should use that when possible.\n\nAfter this change the inference endpoint will use\n`.elser_model_2_linux-x86_64` on supported hardware:\n\n","sha":"ad3b9880c792833e7590a60d57b65e08ecbd9b25"}},{"branch":"8.x","label":"v8.18.0","branchLabelMappingKey":"^v8.18.0$","isSourceBranch":false,"url":"https://github.com/elastic/kibana/pull/205951","number":205951,"state":"OPEN"},{"branch":"8.17","label":"v8.17.1","branchLabelMappingKey":"^v(\\d+).(\\d+).\\d+$","isSourceBranch":false,"state":"NOT_CREATED"}]}] BACKPORT-->
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Closes #205852
When installing the Obs knowledge base it will always install the model
.elser_model_2.For Linux with an x86-64 CPU an optimised version of Elser exists (
elser_model_2_linux-x86_64). We should use that when possible.After this change the inference endpoint will use
.elser_model_2_linux-x86_64on supported hardware: