SvectorDB is a serverless vector database designed for AWS. It offers cost-effective vector search, with users paying per request without minimum fees or upfront costs. Key features include instant updates and built-in vectorizers for text and images, while also allowing users to use their own embeddings. It has various use cases such as in recommendation engines, document/image search, and retrieval augmented generation. For consistent performance, the default limit is 1 million records per database, and the free tier allows creating up to 10 free tier indexes of up to 5k records with no time limit. Users can contact support to increase the record limit if necessary.
SvectorDB
SvectorDB is a serverless vector database on AWS. It offers cost-effective vector search, instant updates, and built-in vectorizers. Ideal for various use cases like recommendation engines and document search.
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