Vector search using the vector similarity index is now in beta, having moved from an experimental status.
Why it matters
This feature enables efficient similarity search on vector data within ClickHouse, allowing users to perform fast and scalable vector similarity queries. The promotion to beta indicates improved stability and readiness for broader use, addressing the need for advanced vector search capabilities in analytics and machine learning workflows.How to use it
Users can utilize the vector similarity index in their tables to perform vector search queries. Since the feature is now in beta, it can be used more reliably in production; enabling the vector similarity index involves creating tables or indexes with vector data types and using the appropriate search queries in SQL.