The vector engine for Amazon OpenSearch Serverless introduces a simple, scalable, and high-performing vector storage and search capability that helps developers build machine learning (ML)-augmented search experiences and generative artificial intelligence (AI) applications without having to manage the vector database infrastructure. Get contextually relevant responses across billions of vectors in milliseconds by querying vector embeddings, which can be combined with text-based keywords in a single hybrid request.
This video provides a deep dive into the configuration steps for creating an Amazon OpenSearch Serverless collection for building Semantic Search application, using the vector engine.
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#AmazonOpenSearch #SemanticSearch #VectorEngine #AWS #AmazonWebServices #CloudComputing
28 авг 2024
