Implement Advanced Search Features In Azure AI Search

By Ashwin Venugopal -

 






Introduction

Azure AI Search is a robust search engine that can index a large amount of data from several sources. Returning pertinent results from search queries is a fundamental aspect of search.

Improve Ranking Of a Document With Term Boosting

When the most pertinent results are displayed first, search performs best. Every search engine aims to provide the most pertinent answers to inquiries. For full text search, Azure AI Search uses an improved version of Apache Lucene.

Search an Index

With Azure AI Search, you may use the search explorer tool within the Azure portal or a REST endpoint to query an index. You will use the search explorer to see the difference between using the simple and full query type changes your search results.

Improve Relevance Of Results By Adding Scoring Profiles

Azure AI Search uses the BM25 similarity ranking algorithm. The algorithm scores documents based on the search terms used.

How Search Scores Are Calculated

Scoring is the last phase of processing a search query. The documents that are retrieved from the first three stages are ranked by the search engine. The number of times detected search phrases exist in a document, the size of the document, and the rarity of each keyword all affect the score.

By default, the search results are ordered by their search score, highest first. If two documents have an identical search score, you can break the tie by adding an $orderby clause.

Conclusion

We have successfully learnt the basics of advanced search features in Azure AI search.

 











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