Seamless Integration: Vector Engine and AWS OpenSearch
Now, billions of vector embeddings with thousands of dimensions may be stored, updated, and searched in milliseconds
Generative AI-powered applications may give constant millisecond-scale reaction times together with precise and dependable results thanks to the vector engine’s extremely performant similarity search capability
By merging full-text and vector search into a single query, the vector engine also makes it possible to optimize and fine-tune hybrid search results
The vector engine offers an enterprise-ready, scalable, dependable, and safe platform for developing prototype applications at a reasonable cost and smoothly transitioning them into production
The OpenSearch Serverless vector engine is a highly available service. For the first collection in an account, it needs a minimum of four OCUs
Since the vector engine keeps all of the data in Amazon S3, AWS will still ensure durability with this choice. However, single-AZ failures will affect your availability
The floor price for vector search collection is lowered by supporting fractional OCU billing for development and test-focused workloads