Add pattern_capture token filter docs #8240

_analyzers/token-filters/index.md

@@ -45,7 +45,7 @@ Token filter | Underlying Lucene token filter|  Description
 `multiplexer` | N/A | Emits multiple tokens at the same position. Runs each token through each of the specified filter lists separately and outputs the results as separate tokens.
 `ngram` | [NGramTokenFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html) | Tokenizes the given token into n-grams of lengths between `min_gram` and `max_gram`.
 Normalization | `arabic_normalization`: [ArabicNormalizer](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/ar/ArabicNormalizer.html) <br> `german_normalization`: [GermanNormalizationFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/de/GermanNormalizationFilter.html) <br> `hindi_normalization`: [HindiNormalizer](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/hi/HindiNormalizer.html) <br> `indic_normalization`: [IndicNormalizer](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/in/IndicNormalizer.html) <br> `sorani_normalization`: [SoraniNormalizer](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/ckb/SoraniNormalizer.html) <br> `persian_normalization`: [PersianNormalizer](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/fa/PersianNormalizer.html) <br> `scandinavian_normalization` : [ScandinavianNormalizationFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/miscellaneous/ScandinavianNormalizationFilter.html) <br> `scandinavian_folding`: [ScandinavianFoldingFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/miscellaneous/ScandinavianFoldingFilter.html) <br> `serbian_normalization`: [SerbianNormalizationFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/sr/SerbianNormalizationFilter.html) | Normalizes the characters of one of the listed languages.
-`pattern_capture` | N/A | Generates a token for every capture group in the provided regular expression. Uses [Java regular expression syntax](https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html).
+[`pattern_capture`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/pattern-capture/) | N/A | Generates a token for every capture group in the provided regular expression. Uses [Java regular expression syntax](https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html).
 `pattern_replace` | N/A | Matches a pattern in the provided regular expression and replaces matching substrings. Uses [Java regular expression syntax](https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html).
 `phonetic` | N/A | Uses a phonetic encoder to emit a metaphone token for each token in the token stream. Requires installing the `analysis-phonetic` plugin.
 `porter_stem` | [PorterStemFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/en/PorterStemFilter.html) | Uses the [Porter stemming algorithm](https://tartarus.org/martin/PorterStemmer/) to perform algorithmic stemming for the English language.

_analyzers/token-filters/pattern-capture.md

@@ -0,0 +1,97 @@
+---
+layout: default
+title: Pattern capture
+parent: Token filters
+nav_order: 310
+---
+
+# Pattern capture token filter
+
+The `pattern_capture` token filter is a powerful filter that uses regular expressions to capture and extract parts of text according to specific patterns. This filter can be useful when you want to extract particular parts of tokens, such as email domains, hashtags, or numbers, and reuse them for further analysis or indexing.
+
+## Parameters
+
+The `pattern_capture` token filter can be configured with the following parameters.
+
+Parameter | Required/Optional | Data type | Description
+:--- | :--- | :--- | :--- 
+`patterns` | Required | Array of strings | An array of regular expressions used to capture parts of text.
+`preserve_original` | Required | Boolean| Whether to keep the original token in the output. Default is `true`.
+
+
+## Example
+
+The following example request creates a new index named `email_index` and configures an analyzer with a `pattern_capture` filter to extract the local part and domain name from an email address:
+
+```json
+PUT /email_index
+{
+  "settings": {
+    "analysis": {
+      "filter": {
+        "email_pattern_capture": {
+          "type": "pattern_capture",
+          "preserve_original": true,
+          "patterns": [
+            "^([^@]+)",
+            "@(.+)$"
+          ]
+        }
+      },
+      "analyzer": {
+        "email_analyzer": {
+          "tokenizer": "uax_url_email",
+          "filter": [
+            "email_pattern_capture",
+            "lowercase"
+          ]
+        }
+      }
+    }
+  }
+}
+```
+{% include copy-curl.html %}
+
+## Generated tokens
+
+Use the following request to examine the tokens generated using the analyzer:
+
+```json
+POST /email_index/_analyze
+{
+  "text": "[email protected]",
+  "analyzer": "email_analyzer"
+}
+```
+{% include copy-curl.html %}
+
+The response contains the generated tokens:
+
+```json
+{
+  "tokens": [
+    {
+      "token": "[email protected]",
+      "start_offset": 0,
+      "end_offset": 20,
+      "type": "<EMAIL>",
+      "position": 0
+    },
+    {
+      "token": "john.doe",
+      "start_offset": 0,
+      "end_offset": 20,
+      "type": "<EMAIL>",
+      "position": 0
+    },
+    {
+      "token": "example.com",
+      "start_offset": 0,
+      "end_offset": 20,
+      "type": "<EMAIL>",
+      "position": 0
+    }
+  ]
+}
+```