Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See:https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. This uses categorical tokens. See:https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. This uses categorical tokens. See:https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. This uses numeric comparisons.
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. This uses numeric comparisons.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Ai Platform V1 Client - Class IndexDatapoint (1.35.0)\n\nVersion latestkeyboard_arrow_down\n\n- [1.35.0 (latest)](/php/docs/reference/cloud-ai-platform/latest/V1.IndexDatapoint)\n- [1.34.0](/php/docs/reference/cloud-ai-platform/1.34.0/V1.IndexDatapoint)\n- [1.33.0](/php/docs/reference/cloud-ai-platform/1.33.0/V1.IndexDatapoint)\n- [1.32.1](/php/docs/reference/cloud-ai-platform/1.32.1/V1.IndexDatapoint)\n- [1.31.0](/php/docs/reference/cloud-ai-platform/1.31.0/V1.IndexDatapoint)\n- [1.30.0](/php/docs/reference/cloud-ai-platform/1.30.0/V1.IndexDatapoint)\n- [1.26.0](/php/docs/reference/cloud-ai-platform/1.26.0/V1.IndexDatapoint)\n- [1.23.0](/php/docs/reference/cloud-ai-platform/1.23.0/V1.IndexDatapoint)\n- [1.22.0](/php/docs/reference/cloud-ai-platform/1.22.0/V1.IndexDatapoint)\n- [1.21.0](/php/docs/reference/cloud-ai-platform/1.21.0/V1.IndexDatapoint)\n- [1.20.0](/php/docs/reference/cloud-ai-platform/1.20.0/V1.IndexDatapoint)\n- [1.19.0](/php/docs/reference/cloud-ai-platform/1.19.0/V1.IndexDatapoint)\n- [1.18.0](/php/docs/reference/cloud-ai-platform/1.18.0/V1.IndexDatapoint)\n- [1.17.0](/php/docs/reference/cloud-ai-platform/1.17.0/V1.IndexDatapoint)\n- [1.16.0](/php/docs/reference/cloud-ai-platform/1.16.0/V1.IndexDatapoint)\n- [1.15.0](/php/docs/reference/cloud-ai-platform/1.15.0/V1.IndexDatapoint)\n- [1.14.0](/php/docs/reference/cloud-ai-platform/1.14.0/V1.IndexDatapoint)\n- [1.13.1](/php/docs/reference/cloud-ai-platform/1.13.1/V1.IndexDatapoint)\n- [1.12.0](/php/docs/reference/cloud-ai-platform/1.12.0/V1.IndexDatapoint)\n- [1.11.0](/php/docs/reference/cloud-ai-platform/1.11.0/V1.IndexDatapoint)\n- [1.10.0](/php/docs/reference/cloud-ai-platform/1.10.0/V1.IndexDatapoint)\n- [1.9.0](/php/docs/reference/cloud-ai-platform/1.9.0/V1.IndexDatapoint)\n- [1.8.0](/php/docs/reference/cloud-ai-platform/1.8.0/V1.IndexDatapoint)\n- [1.7.0](/php/docs/reference/cloud-ai-platform/1.7.0/V1.IndexDatapoint)\n- [1.6.0](/php/docs/reference/cloud-ai-platform/1.6.0/V1.IndexDatapoint)\n- [1.5.0](/php/docs/reference/cloud-ai-platform/1.5.0/V1.IndexDatapoint)\n- [1.4.0](/php/docs/reference/cloud-ai-platform/1.4.0/V1.IndexDatapoint)\n- [1.3.0](/php/docs/reference/cloud-ai-platform/1.3.0/V1.IndexDatapoint)\n- [1.2.0](/php/docs/reference/cloud-ai-platform/1.2.0/V1.IndexDatapoint)\n- [1.1.0](/php/docs/reference/cloud-ai-platform/1.1.0/V1.IndexDatapoint)\n- [1.0.0](/php/docs/reference/cloud-ai-platform/1.0.0/V1.IndexDatapoint)\n- [0.39.0](/php/docs/reference/cloud-ai-platform/0.39.0/V1.IndexDatapoint)\n- [0.38.0](/php/docs/reference/cloud-ai-platform/0.38.0/V1.IndexDatapoint)\n- [0.37.1](/php/docs/reference/cloud-ai-platform/0.37.1/V1.IndexDatapoint)\n- [0.32.0](/php/docs/reference/cloud-ai-platform/0.32.0/V1.IndexDatapoint)\n- [0.31.0](/php/docs/reference/cloud-ai-platform/0.31.0/V1.IndexDatapoint)\n- [0.30.0](/php/docs/reference/cloud-ai-platform/0.30.0/V1.IndexDatapoint)\n- [0.29.0](/php/docs/reference/cloud-ai-platform/0.29.0/V1.IndexDatapoint)\n- [0.28.0](/php/docs/reference/cloud-ai-platform/0.28.0/V1.IndexDatapoint)\n- [0.27.0](/php/docs/reference/cloud-ai-platform/0.27.0/V1.IndexDatapoint)\n- [0.26.2](/php/docs/reference/cloud-ai-platform/0.26.2/V1.IndexDatapoint)\n- [0.25.0](/php/docs/reference/cloud-ai-platform/0.25.0/V1.IndexDatapoint)\n- [0.24.0](/php/docs/reference/cloud-ai-platform/0.24.0/V1.IndexDatapoint)\n- [0.23.0](/php/docs/reference/cloud-ai-platform/0.23.0/V1.IndexDatapoint)\n- [0.22.0](/php/docs/reference/cloud-ai-platform/0.22.0/V1.IndexDatapoint)\n- [0.21.0](/php/docs/reference/cloud-ai-platform/0.21.0/V1.IndexDatapoint)\n- [0.20.0](/php/docs/reference/cloud-ai-platform/0.20.0/V1.IndexDatapoint)\n- [0.19.0](/php/docs/reference/cloud-ai-platform/0.19.0/V1.IndexDatapoint)\n- [0.18.0](/php/docs/reference/cloud-ai-platform/0.18.0/V1.IndexDatapoint)\n- [0.17.0](/php/docs/reference/cloud-ai-platform/0.17.0/V1.IndexDatapoint)\n- [0.16.0](/php/docs/reference/cloud-ai-platform/0.16.0/V1.IndexDatapoint)\n- [0.15.0](/php/docs/reference/cloud-ai-platform/0.15.0/V1.IndexDatapoint)\n- [0.13.0](/php/docs/reference/cloud-ai-platform/0.13.0/V1.IndexDatapoint)\n- [0.12.0](/php/docs/reference/cloud-ai-platform/0.12.0/V1.IndexDatapoint)\n- [0.11.1](/php/docs/reference/cloud-ai-platform/0.11.1/V1.IndexDatapoint)\n- [0.10.0](/php/docs/reference/cloud-ai-platform/0.10.0/V1.IndexDatapoint) \nReference documentation and code samples for the Google Cloud Ai Platform V1 Client class IndexDatapoint.\n\nA datapoint of Index.\n\nGenerated from protobuf message `google.cloud.aiplatform.v1.IndexDatapoint`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ AIPlatform \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getDatapointId\n\nRequired. Unique identifier of the datapoint.\n\n### setDatapointId\n\nRequired. Unique identifier of the datapoint.\n\n### getFeatureVector\n\nRequired. Feature embedding vector for dense index. An array of numbers\nwith the length of \\[NearestNeighborSearchConfig.dimensions\\].\n\n### setFeatureVector\n\nRequired. Feature embedding vector for dense index. An array of numbers\nwith the length of \\[NearestNeighborSearchConfig.dimensions\\].\n\n### getSparseEmbedding\n\nOptional. Feature embedding vector for sparse index.\n\n### hasSparseEmbedding\n\n### clearSparseEmbedding\n\n### setSparseEmbedding\n\nOptional. Feature embedding vector for sparse index.\n\n### getRestricts\n\nOptional. List of Restrict of the datapoint, used to perform \"restricted\nsearches\" where boolean rule are used to filter the subset of the database\neligible for matching. This uses categorical tokens. See:\n\u003chttps://cloud.google.com/vertex-ai/docs/matching-engine/filtering\u003e\n\n### setRestricts\n\nOptional. List of Restrict of the datapoint, used to perform \"restricted\nsearches\" where boolean rule are used to filter the subset of the database\neligible for matching. This uses categorical tokens. See:\n\u003chttps://cloud.google.com/vertex-ai/docs/matching-engine/filtering\u003e\n\n### getNumericRestricts\n\nOptional. List of Restrict of the datapoint, used to perform \"restricted\nsearches\" where boolean rule are used to filter the subset of the database\neligible for matching. This uses numeric comparisons.\n\n### setNumericRestricts\n\nOptional. List of Restrict of the datapoint, used to perform \"restricted\nsearches\" where boolean rule are used to filter the subset of the database\neligible for matching. This uses numeric comparisons.\n\n### getCrowdingTag\n\nOptional. CrowdingTag of the datapoint, the number of neighbors to return\nin each crowding can be configured during query.\n\n### hasCrowdingTag\n\n### clearCrowdingTag\n\n### setCrowdingTag\n\nOptional. CrowdingTag of the datapoint, the number of neighbors to return\nin each crowding can be configured during query.\n\n### getEmbeddingMetadata\n\nOptional. The key-value map of additional metadata for the datapoint.\n\n### hasEmbeddingMetadata\n\n### clearEmbeddingMetadata\n\n### setEmbeddingMetadata\n\nOptional. The key-value map of additional metadata for the datapoint."]]
