Improvement
Vectorize indexes now support up to 20 million vectors
Vectorize index capacity has doubled from 10 million to 20 million vectors, enabling larger-scale semantic search, recommendation systems, and RAG applications without requiring data to be split across multiple indexes.
You can now store up to 20 million vectors in a single Vectorize index, doubling the previous limit of 10 million vectors. This enables larger-scale semantic search, recommendation systems, and retrieval-augmented generation (RAG) applications without splitting data across multiple indexes.
Vectorize continues to support indexes with up to 1,536 dimensions per vector at 32-bit precision. Refer to the Vectorize limits documentation for complete details.
vectorizeaivectorscapacitysemantic-search
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