Vertex AI Search
Managed data store with semantic search over websites, documents, structured records and media.
- Provider
- gcp
- Kind
- Search index
- Category
- Data
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| customerManagedKeys | boolean | — | no | false | inherited |
| dataStoreType | enum | website | unstructured | structured | media | healthcare | no | — | inherited |
| edition | enum | standard | enterprise | no | — | inherited |
| geoScheme | enum | none | s2 | h3 | geohash | quadtree | no | none | ▸ none |
| indexing | enum | sync | async | batch | no | async | ▸ async |
| managed | boolean | — | no | false | ▸ true |
| rebuildCadenceHours | integer | — | no | — | inherited |
| replicas | integer | — | no | — | inherited |
| semanticSearch | boolean | — | no | true | inherited |
| shardingStrategy | enum | none | hash | geo | time | prefix-range | no | none | ▸ none |
| structure | enum | inverted | trie | vector | geo-cell | no | inverted | ▸ vector |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
derived-store-without-cdc-or-rebuild
A search index is derived data and needs an asynchronous feed from a stream, change data capture or an indexing worker. Without one it is written inline on the request path, and it can never be rebuilt after it drifts.
- — this does not hold:
- — the node has at least one asynchronous incoming edge from a stream, change-data-capture or worker
nodes:
- { id: "vertex-ai-search", component: "google-vertex-ai-search" }Alibaba Cloud Elasticsearchalibaba-elasticsearchOpenSearchalibaba-open-searchAmazon Bedrock Knowledge Basesaws-bedrock-knowledge-baseAmazon CloudSearchaws-cloudsearchAmazon Kendraaws-kendraAmazon OpenSearch Serviceaws-opensearchAzure AI Searchazure-ai-searchFoundry IQazure-foundry-iqAI Searchcloudflare-ai-searchAlgoliaalgoliaCoveocoveoElastic Cloudelastic-cloudElasticsearchelasticsearchGeo cell indexgeo-cell-indexManticore SearchmanticoreMeilisearchmeilisearchOpenSearchopensearchQuickwitquickwitGeneric search indexsearch-indexApache SolrsolrSonicsonicSphinxsphinxTrie indextrie-indexTypesensetypesenseVespavespaCloud Talent Solutiongoogle-cloud-talent-solutionAI Commerce Searchgoogle-vertex-ai-search-commerceVision API Product Searchgoogle-vision-product-searchIBM Cloud Databases for Elasticsearchibm-databases-for-elasticsearchIBM Watson Discoveryibm-watson-discoveryOCI Search with OpenSearchoci-opensearch
# yaml-language-server: $schema=../../schema/component.schema.json # Vertex AI Search (Agent Search) data store: a managed index over websites, unstructured documents, # structured records, media or FHIR data, with out-of-the-box natural language understanding and # semantic search ("AI Applications introduction"). Documents are indexed after import, so indexing is async. schemaVersion: "1" type: "component" id: "google-vertex-ai-search" kind: "search-index" provider: "gcp" docs: "https://cloud.google.com/generative-ai-app-builder/docs/introduction" defaults: managed: true structure: "vector" indexing: "async" shardingStrategy: "none" geoScheme: "none" properties: dataStoreType: type: "enum" values: ["website", "unstructured", "structured", "media", "healthcare"] semanticSearch: type: "boolean" default: true edition: type: "enum" values: ["standard", "enterprise"] customerManagedKeys: type: "boolean" default: false