Vector Engine for Amazon Opensearch Serverless Now in Preview – InfoQ.com

AWS announced the preview release of vector storage and search capability within Amazon OpenSearch Serverless. The capability is intended to support machine learning augmented search experiences and generative AI applications.

Amazon OpenSearch Serverless is the serverless offering of the Amazon OpenSearch Service. Based on the open-source search project Apache Lucene, Amazon OpenSearch enables ingestion, storage, search and analytics across JSON documents.

Historically, search in Lucene-based systems has relied on keyword matching along with a scoring metric to control the relevance of results. Keyword matching works by building an inverted index of terms, linking them to documents in which they appear. Ranking results, on the other hand, works by converting individual documents into a vector within a sparse N-dimensional space, where the weights for each dimension are outputs from the scoring metric and the dimensions are the terms across all considered documents. This approach,…

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