
Turn unstructured data into optimized vector search indexes for RAG
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1 / 2Vectorize is a vector database for retrieval augmented generation (RAG). It turns unstructured data into optimized vector search indexes, so AI agents can retrieve the right information. The product is positioned as fast and production-ready, and it is aimed at teams building RAG pipelines into their apps. The project has a public repository, and pricing is listed as free.
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