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SvectorDB is a serverless vector database built from the ground up for AWS. It offers cost-effective vector search, allowing users to pay only for what they use and optimize their cloud spend. It is designed to be high-performance and up to 20x cheaper than alternatives, focusing on enabling users to concentrate on their product rather than database management.
Users can get started with SvectorDB by reading the documentation and using the quick start tutorial. Code examples are provided in JavaScript and Python. The service offers an OpenAPI specification for use with other languages. Users can create databases, set items with vectors, and query based on vectors or keys.
No info provided, but if you’re into vector databases and AI, this might be worth a try.
The total size of your database and indexes, including keys, value, and vectors.
A single query counts as 1 read operation, regardless of the number of results returned or data scanned.
A single put or delete call counts as 1 write operation, regardless of the size of the item.
Create up to 10 free tier indexes of up to 5k records, with no time limit.
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