Vectorize indexes now support up to 10 million vectors
Vectorize indexes can now store up to 10 million vectors, doubling the previous limit from 5 million. This enables larger-scale semantic search, recommendation systems, and RAG applications without splitting data across multiple indexes.
You can now store up to 10 million vectors in a single Vectorize index, doubling the previous limit of 5 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.
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