Azure AI Search enables hybrid search by seamlessly integrating full-text search with semantic search within a single query, simplifying this complex process. This functionality works efficiently with various data types from multiple sources, allowing users to obtain combined results through one query.
Azure AI Search exposes APIs that allow you to configure your hybrid search to suit your specific needs. But, while hybrid search offers many advantages, be aware that it may not be the optimal solution for every situation.
Well done on completing this lesson! You’ve learned how to:
Design a hybrid search system, combining vector and keyword-based searches.
Implement relevance tuning to balance semantic and lexical matching.
Evaluate the effectiveness of hybrid search in various scenarios.
In the next lesson, you’ll learn even more about Azure AI Search by integrating it with OpenAI. Want to know how? Continue to the final lesson of this module.
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This content was released on Nov 15 2024. The official support period is 6-months
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