few days ago, AWS announced availability of new feature for DynamoDB which is DynamoDB vector search DynamoDB now supports vector search.

the new feature allows you to store vector embeddings alongside your data, this will allow you to run similarity search without the replication overhead of your data

as mentioned by AWS its single digit millisecond latency adding to this there is no storage limits for vector indexes as its growth whenever your operational data growth

in this article we will dig deeper into this feature and will have a comparison with S3 vectors and a use case for each one of them so let's first start with a walkthrough for the DynamoDB vector search

Setup & Implementation steps