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feat: [vectorsearch] new module for vectorsearch
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generation_config.yaml

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@@ -2700,6 +2700,28 @@ libraries:
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- proto_path: google/cloud/memorystore/v1beta
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requires_billing: true
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rest_documentation: https://cloud.google.com/memorystore/docs/valkey/reference/rest
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- api_shortname: vectorsearch
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name_pretty: Vector Search API
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product_documentation: https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
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api_description: The Vector Search API provides a fully-managed, highly performant,
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and scalable vector database designed to power next-generation search, recommendation,
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and generative AI applications. It allows you to store, index, and query your
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data and its corresponding vector embeddings through a simple, intuitive interface.
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With Vector Search, you can define custom schemas for your data, insert objects
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with associated metadata, automatically generate embeddings from your data, and
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perform fast approximate nearest neighbor (ANN) searches to find semantically
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similar items at scale.
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client_documentation:
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https://cloud.google.com/java/docs/reference/google-cloud-vectorsearch/latest/overview
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release_level: preview
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distribution_name: com.google.cloud:google-cloud-vectorsearch
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api_id: vectorsearch.googleapis.com
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library_type: GAPIC_AUTO
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group_id: com.google.cloud
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cloud_api: true
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GAPICs:
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- proto_path: google/ads/datamanager/v1
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requires_billing: true
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- api_shortname: videointelligence
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name_pretty: Cloud Video Intelligence
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product_documentation: https://cloud.google.com/video-intelligence/docs/

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