FeatureOct 5, 2026

The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured data.

The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured data. It supports a mix of text, images, audio, video, and PDF files. You can use this model in the AI.EMBED, AI.SIMILARITY, and AI.GENERATE_EMBEDDING functions. This model is generally available.

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All BigQuery updates →

Incremental data transfers for the BigQuery Data Transfer Service for PostgreSQL and ServiceNow are now generally available (GA).
BigQueryGenerally availableOct 12, 2026
The BigQuery Data Engineering Agent is now available in the asia-northeast1 (Tokyo) regional endpoint and supports the gemini-3.5-flash model.
For more information, see Where Gemini in BigQuery processes your data.
BigQueryFeature

The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured data.

More from BigQuery

The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured data.

More from BigQuery