Introducing vector search in BigQuery
Vector search in BigQuery, or approximate nearest-neighbor search, enables AI use cases like semantic search, similarity detection, and RAG with LLMs.
How to use modular architecture and pre-built connectors to enable chatbots, code generation and more.
Learn how to create and measure the performance of clustered tables and materialized views using BigQuery.
A new BigQuery view that leverages the recent FOCUS specification to help simplify cloud cost management across clouds.
BigQuery ML’s approach to feature engineering, modularity, allows for easy reuse of feature pipelines within BigQuery, and portability to Vertex AI.