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Amazon OpenSearch Service can be used to build conversational AI search by integrating retrieval augmented generation (RAG) with conversational search. RAG combines large language models with external world knowledge retrieval and improves accuracy, personalization, and efficiency. Conversational search preserves context, enhances responses, and provides a more natural user experience. The solution architecture uses OpenSearch Service’s agents and tools feature to coordinate ML tasks and requires an AWS account and OpenSearch Service domain version 2.13 or later.
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