Filtering is a key aspect of hybrid search with Azure AI Search. Filters are applied to the content of filterable vector or non-vector fields. By default, filters are applied before the query is executed, reducing the query surface. You can change this to apply filters after the query is executed, reducing the result set instead.
Relevance Tuning
You can tune the results for a hybrid search using scoring profiles, semantic ranking, and fine-tuning query parameters.
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Exploring Advantages of Hybrid Search
Hybrid search in Azure AI Search builds on the strengths of its individual search types to produce a more comprehensive solution. It delivers the speed and accuracy of keyword search and the versatility of vector search in a single, highly efficient query.
Exploring Scenarios Where Hybrid Search May Not Be Effective
While hybrid search offers many advantages, there are situations where it might not be the most effective solution:
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This content was released on Nov 15 2024. The official support period is 6-months
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