Amazon DocumentDB (with MongoDB compatibility) now supports vector search, a new capability that enables you to store, index, and search millions of vectors with millisecond response times. Vectors are numerical representations of unstructured data, such as text, created from machine learning (ML) models that help capture the semantic meaning of the underlying data. Vector search for Amazon DocumentDB can store vectors from Amazon Bedrock, Amazon SageMaker, and more. There are no upfront commitments or additional costs to use vector search, and you only pay for the data you store and compute resources you use.
Source:: Amazon AWS