--- title: Introducing BigQuery autonomous embedding generation description: BigQuery now supports autonomous embedding generation, a feature that automatically maintains embedding columns on tables based on source columns. Instead of... canonical: https://daily.dev/posts/introducing-bigquery-autonomous-embedding-generation-bhfmz3oac twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Introducing BigQuery autonomous embedding generation | daily.dev og:description: BigQuery now supports autonomous embedding generation, a feature that automatically maintains embedding columns on tables based on source columns. Instead of... og:url: https://daily.dev/posts/introducing-bigquery-autonomous-embedding-generation-bhfmz3oac og:image: https://api.daily.dev/og/posts/BhFMZ3Oac.png og:image:alt: Introducing BigQuery autonomous embedding generation og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Introducing BigQuery autonomous embedding generation **[Google Cloud](https://daily.dev/sources/gcp)** · 5 min read · 0 upvotes · 0 comments ## Summary BigQuery now supports autonomous embedding generation, a feature that automatically maintains embedding columns on tables based on source columns. Instead of manually building pipelines to detect changes, generate embeddings, handle rate limits, and sync vectors, users can define a generated embedding column using SQL DDL syntax with `GENERATED ALWAYS AS (AI.EMBED(...))`. A new `AI.SEARCH` function simplifies semantic search without requiring users to manage embedding configuration. The feature integrates with BigQuery's vector index and vector search, supports Vertex AI embedding models, and includes status metadata and error monitoring. Currently in preview, upcoming additions include ALTER TABLE support for existing tables, API/UI management, and multimodal data support via ObjectRef. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [BigQuery Search innovations: Unify structured & unstructured data](https://daily.dev/posts/bigquery-search-innovations-unify-structured-unstructured-data-oo50rjuci) · Google Cloud · 0 upvotes · 0 comments - [Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models](https://daily.dev/posts/google-bigquery-adds-sql-native-managed-inference-for-hugging-face-models-em9ntn7md) · InfoQ · 0 upvotes · 0 comments - [AlloyDB AI auto vector embeddings and auto vector index](https://daily.dev/posts/alloydb-ai-auto-vector-embeddings-and-auto-vector-index-f6behmf2m) · Google Cloud · 0 upvotes · 0 comments - [New T-SQL AI Features are now in Public Preview for Azure SQL and SQL database in Microsoft Fabric](https://daily.dev/posts/new-t-sql-ai-features-are-now-in-public-preview-for-azure-sql-and-sql-database-in-microsoft-fabric-x0vb8r1z1) · DevBlogs · 0 upvotes · 0 comments --- Tags: [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#google-bigquery](https://daily.dev/tags/google-bigquery), [#embeddings](https://daily.dev/tags/embeddings), [#vertex-ai](https://daily.dev/tags/vertex-ai) [View this post on daily.dev](https://daily.dev/posts/introducing-bigquery-autonomous-embedding-generation-bhfmz3oac) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Introducing BigQuery autonomous embedding generation","url":"https://daily.dev/posts/introducing-bigquery-autonomous-embedding-generation-bhfmz3oac","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/introducing-bigquery-autonomous-embedding-generation-bhfmz3oac"},"datePublished":"2026-02-19T17:08:36.487Z","dateModified":"2026-08-24T08:12:17.768Z","description":"BigQuery now supports autonomous embedding generation, a feature that automatically maintains embedding columns on tables based on source columns. 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