AMAZON DYNAMODB NOW SUPPORTS REAL-TIME VECTOR SEARCH AT ANY SCALE

Summary from the TLDR DevOps newsletter

Amazon DynamoDB now supports native vector search, letting developers store vector embeddings alongside operational data and run similarity searches without copying data to a separate vector store. The feature supports up to 4,096 dimensions, Euclidean, Cosine, and Dot product distance functions, and returns up to 100 results per query with single-digit millisecond latency at 99% or higher recall. It is generally available in all commercial AWS regions, including the AWS GovCloud (US) regions.