Amazon DocumentDB (with MongoDB compatibility) now supports vector search with Hierarchical Navigable Small World (HNSW) index. HNSW index lets you execute vector similarity searches with low latency and produce highly relevant results. 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.
Source:: Amazon AWS