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It then stores these vector embeddings with linked metadata within our vector databases by populating an index inside a vector selection in OpenSearch Serverless. The subsequent diagram illustrates the end-to-conclusion flow.

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What all of these strategies have in frequent is that they convert inputs right into a set of tokens, which are numerical representations of chunks of knowledge.

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