Lucene Word

The 'Term' property defines the word or pattern that must appear in the target text for a match to occur. Word queries are used to find documents containing specific keywords, product codes, or other single-word values.

• Enter the word exactly as it should appear. Wildcards (* and ?) are supported for pattern matching.
• Word queries are case-insensitive by default in Azure AI Search.
• Use word queries to avoid false positives from documents containing only part of the term.

Example:

• To find invoice: invoice
• To find any word starting with inv: inv*

Use word queries when you need to match specific terms, codes, or identifiers in your documents.

The 'Fuzzy Similarity' property enables fuzzy matching, allowing the search to find words that are similar to the specified term, accommodating misspellings, typos, or OCR errors.

• Set this property to a value between 0 and 2 to specify the maximum edit distance allowed.
• In Lucene syntax, fuzzy search is indicated by a tilde (~) at the end of the term. The tilde can be used with no number after it to indicate a default edit distance of 2 (e.g., blue~ is equivalent to blue~2).
• You may also specify a number after the tilde to set a custom edit distance (e.g., blue~1).
• Fuzzy search can only be applied to single terms, not phrases.

Example:

• To find blue, blues, or glue: blue~ (default distance 2)
• To find university with up to 1 edit: university~1

Use fuzzy matching to improve recall when dealing with noisy data or variable spellings.

The 'Boost Factor' property allows you to increase the ranking of documents that contain the specified word, making them appear higher in search results. Boosting is useful when certain terms are more important or relevant to your search scenario.

• Set this property to a positive number greater than 0. The default is 1 (no boost).
• In Lucene syntax, boosting is indicated by a caret (^) followed by the boost value (e.g., priority^2).
• Higher values increase the impact of the word on ranking; values less than 1 reduce it.

Example:

• To boost priority by a factor of 2: priority^2

Use boosting to prioritize key terms that are most relevant to your search goals.

The 'Field Name' property specifies the field in the Azure AI Search index to which the search expression applies. Fielded search operations use the fieldName:searchExpression syntax, allowing you to target specific fields for more precise results.

• Set this property to the name of a searchable field in your index.
• If left blank, the search applies to all searchable fields.

Example: genre: jazz NOT history artists:("Miles Davis" "John Coltrane")

Use quotation marks for multi-word phrases and ensure the field exists in your index schema.

The 'Not' property enables exclusion logic in the search query, allowing you to filter out documents that match the specified criteria.

• Set to true to prepend NOT to the search expression.
• Useful for refining results by excluding unwanted terms or phrases.

Example: "Oklahoma City" NOT Edmond This query finds documents containing "Oklahoma City" but not the term "Edmond".

Note: Queries with a single negation (e.g., NOT "Oklahoma City") are not allowed in Azure AI Search.