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Copy file name to clipboardExpand all lines: modules/ROOT/pages/genai-integrations.adoc
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@@ -297,12 +297,12 @@ Supported values: +
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| taskType
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| STRING
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| The intended downstream application (see link:https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#api_changes_to_models_released_on_or_after_august_2023[provider documentation]). The specified `taskType` will apply to all resources in a batch. label:new[Introduced in 5.19]
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| The intended downstream application (see link:https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings/[provider documentation]). The specified `taskType` will apply to all resources in a batch. label:new[Introduced in 5.19]
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|
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| title
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| STRING
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| The title of the document that is being encoded (see link:https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#api_changes_to_models_released_on_or_after_august_2023[provider documentation]). The specified `title` will apply to all resources in a batch. label:new[Introduced in 5.19]
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| The title of the document that is being encoded (see link:https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings/[provider documentation]). The specified `title` will apply to all resources in a batch. label:new[Introduced in 5.19]
| Update a given node property with the given vector in a more space-efficient way than directly using xref:clauses/set.adoc#set-set-a-property[`SET`]. Replaces link:{neo4j-docs-base-uri}/operations-manual/current/procedures/#procedure_db_create_setvectorproperty[`db.create.setVectorProperty`]. label:beta[] label:new[Introduced in 5.13]
| Update a given relationship property with the given vector in a more space-efficient way than directly using xref:clauses/set.adoc#set-set-a-property[`SET`]. label:beta[] label:new[Introduced in 5.18]
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|===
@@ -641,7 +641,7 @@ d| The validation for xref:indexes/semantic-indexes/vector-indexes.adoc#similari
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This can lead to certain large component vectors being incorrectly indexed, and return a similarity score of `±0.0`.
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| Neo4j 5.12
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| link:{neo4j-docs-base-uri}/operations-manual/current/#procedure_db_index_vector_querynodes[`db.index.vector.queryNodes`] query vector validation is incorrect with a xref:indexes/semantic-indexes/vector-indexes.adoc#similarity-functions[cosine] vector index. The {l2-norm} validation only considers the last component of the vector. If that component is `±0.0`, an otherwise valid query vector will be thrown as invalid. This can also result in some invalid vectors being used to query, and return a similarity score of `±0.0`.
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| link:{neo4j-docs-base-uri}/operations-manual/current/procedures/#procedure_db_index_vector_querynodes[`db.index.vector.queryNodes`] query vector validation is incorrect with a xref:indexes/semantic-indexes/vector-indexes.adoc#similarity-functions[cosine] vector index. The {l2-norm} validation only considers the last component of the vector. If that component is `±0.0`, an otherwise valid query vector will be thrown as invalid. This can also result in some invalid vectors being used to query, and return a similarity score of `±0.0`.
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