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Learn to optimize hybrid search configurations in OpenSearch through a detailed notebook walkthrough that demonstrates finding ideal settings and implementing dynamic approaches. Begin with OpenSearch preparation and data indexing before establishing baseline measurements. Explore techniques for determining the best hybrid search configuration through comprehensive query, result, and judgment analysis. Dive into individual query examination and discover how to implement a dynamic approach using features and models. Practice evaluating different models to improve search effectiveness using a provided example dataset. Access hands-on examples and code through the accompanying GitHub repository to implement these optimization techniques in your own OpenSearch installation.
