Vector indexes in TiDB Cloud Lake enable efficient similarity search on high-dimensional vector data using the HNSW (Hierarchical Navigable Small World) algorithm. They support use cases like semantic search, recommendation systems, and AI applications.
Tip
Vector indexes are automatically built as data is written. When you insert or load data into a table with a Vector index, the index is generated automatically without manual intervention. You only need to run REFRESH VECTOR INDEX if you create an index on a table that already contains data.