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One of the most interesting aspects of OpenSearch is how it goes beyond traditional keyword search. By combining search capabilities with machine learning features, you can build applications that understand intent, improve relevance, and surface more useful results from large datasets. OpenSearch supports search, analytics, log management, and vector search workloads, making it useful for a wide range of projects. Some practical use cases include: