Merge pull request #235335 from gmndrg/main

Reflect regex complex queries affecting performance

Author: prmerger-automator[bot]

articles/search/search-performance-tips.md

@@ -7,7 +7,7 @@ author: LiamCavanagh
 ms.author: liamca
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 08/25/2022
+ms.date: 04/20/2023
 ---
 
 # Tips for better performance in Azure Cognitive Search
@@ -132,6 +132,11 @@ As this hypothetical scenario illustrates, you can have configurations on lower
 
 An important benefit of added memory is that more of the index can be cached, resulting in lower search latency, and a greater number of queries per second. With this extra power, the administrator may not need to even need to increase the replica count and could potentially pay less than by staying on the S1 service.
 
+### Tip: Consider alternatives to regular expression queries
+
+[Regular expression queries](query-lucene-syntax.md#bkmk_regex) or regex can be particularly expensive. While they can be very useful for complex searches, they also may require a lot of processing power to be executed, especially if the regular expression has a lot of complexity or when searching through a large amount of data. This would result in high search latency. In order to reduce the search latency, try to simplify the regular expression or break the complex query down into smaller, more manageable queries. 
+
+
 ## Next steps
 
 Review these other articles related to service performance:

articles/search/search-query-fuzzy.md

@@ -8,7 +8,7 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: how-to
-ms.date: 06/22/2022
+ms.date: 04/20/2023
 ---
 # Fuzzy search to correct misspellings and typos
 
@@ -26,7 +26,7 @@ A match succeeds if the discrepancies are limited to two or fewer edits, where a
 
 In Azure Cognitive Search:
 
-+ Fuzzy query applies to whole terms, but you can support phrases through AND constructions. For example, "Unviersty~ of~ "Wshington~" would match on "University of Washington".
++ Fuzzy query applies to whole terms. Phrases aren't supported directly but you can specify a fuzzy match on each term of a multi-part phrase through AND constructions. For example, `search=dr~ AND cleanin~`.  This query expression finds matches on "dry cleaning".
 
 + The default distance of an edit is 2. A value of `~0` signifies no expansion (only the exact term is considered a match), but you could specify `~1` for one degree of difference, or one edit. 
 
@@ -143,4 +143,4 @@ The point of this expanded example is to illustrate the clarity that hit highlig
 + [How full text search works in Azure Cognitive Search (query parsing architecture)](search-lucene-query-architecture.md)
 + [Search explorer](search-explorer.md)
 + [How to query in .NET](./search-get-started-dotnet.md)
-+ [How to query in REST](./search-get-started-powershell.md)
++ [How to query in REST](./search-get-started-powershell.md)