Systems | Development | Analytics | API | Testing

BigQuery Studio’s latest Gemini-powered assistant goes from being a code assistant into a fully context-aware analytics partner.

Use the Conversational Analytics API to build context-aware agents that understand natural language, query BigQuery data, and deliver answers in text, tables, and visual charts.

BigQuery autonomous embedding generation treats embeddings as a managed part of your table, making it easier to get your data AI-ready.

The preview of global queries in BigQuery lets you query data stored in different geographic locations with a single, standard SQL query, with no ETL.

Conversational Analytics in BigQuery in preview brings a sophisticated AI-powered reasoning engine directly into BigQuery Studio.

BigQuery gen AI functions AI.GENERATE and AI.GENERATE_TABLE are now GA, and can be used with the new AI.EMBED and AI.SIMILARITY.

BigQuery now supports managed and SQL-native inference for Hugging Face and Vertex AI Model Garden open models.

Comments to SQL in BigQuery is an AI-powered feature that bridges the gap between human language and structured data queries. Read to learn more.

The new fully managed remote BigQuery MCP server makes it easier to build intelligent data AI agents.

BigQuery AI, brings together BigQuery’s built-in ML capabilities, generative AI functions, vector search, intelligent agents, and agent tools.