AI Commerce Search
Search, browse and recommendations over a retail product catalog and user events.
- Provider
- gcp
- Kind
- Search index
- Category
- Data
- Official docs
- https://docs.cloud.google.com/retail/docs/quotas
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| geoScheme | enum | none | s2 | h3 | geohash | quadtree | no | none | ▸ none |
| indexing | enum | sync | async | batch | no | async | ▸ async |
| managed | boolean | — | no | false | ▸ true |
| maxSearchEnabledProducts | integer | — | no | 4000000 | inherited |
| personalization | boolean | — | no | false | inherited |
| productWritesPerMinute | integer | — | no | 12000 | inherited |
| rebuildCadenceHours | integer | — | no | — | inherited |
| replicas | integer | — | no | — | inherited |
| searchesPerMinute | integer | — | no | 300 | inherited |
| serving | enum | search | recommendations | browse | no | search | 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-commerce", component: "google-vertex-ai-search-commerce" }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-solutionVertex AI Searchgoogle-vertex-ai-searchVision 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 # AI Commerce Search (Vertex AI Search for commerce, Retail API): search and # recommendations over a product catalog fed by catalog imports and user events. # "Quotas and limits": 300 searches and 60,000 predictions per minute, 12,000 product # writes and 60,000 user event writes per minute, 4,000,000 search-enabled products. schemaVersion: "1" type: "component" id: "google-vertex-ai-search-commerce" kind: "search-index" provider: "gcp" docs: "https://docs.cloud.google.com/retail/docs/quotas" defaults: structure: "vector" indexing: "async" shardingStrategy: "none" geoScheme: "none" managed: true properties: serving: type: "enum" values: ["search", "recommendations", "browse"] default: "search" maxSearchEnabledProducts: type: "integer" default: 4000000 searchesPerMinute: type: "integer" default: 300 productWritesPerMinute: type: "integer" default: 12000 personalization: type: "boolean" default: false