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A media company is using Azure AI Search to index articles. They notice that queries for 'car' do not return articles containing 'automobile', and vice-versa, leading to incomplete search results. Which Azure AI Search feature should be implemented to ensure that these related terms yield comprehensive results?
- AAnalyzers
- BScoring profiles
- CSynonym maps
- DSuggesters
Show answer & explanationAnswer & explanation
Correct answer: C. Synonym maps
Synonym maps allow you to define equivalent terms, so that a query for one term will automatically include results for its synonyms, thereby improving the completeness of search results.
Why the other options are wrong
- A. Analyzers process text (e.g., stemming, tokenization) but do not inherently handle arbitrary synonym relationships like 'car' and 'automobile' without explicit configuration.
- B. Scoring profiles influence result ranking, not the terms included in the search itself.
- D. Suggesters provide query completion, not synonym expansion for search results.
Azure AI Search Synonym Maps
A feature in Azure AI Search that defines sets of equivalent terms, allowing queries for one term to automatically match documents containing its synonyms.
- Improves recall by expanding search queries.
- Can be global or specific to an index.
- Supports one-way or two-way synonym relationships.
Memory trick: To make your search 'broader', use a 'synonym map' to link all related words.