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+---
+description: This section contains reference documentation for the add prefix, suffix and ngram UDFs.
+---
+
+# Add Prefix, Suffix & Ngram UDFs
+
+Adding ngram, prefix, postfix UDFs to improve query throughput by enabling efficient text search through derived columns with inverted indexes.
+
+## Context
+
+We were aiming to increase query throughput for a matching use case. Initial testing shows that the current approaches using `REGEXP_LIKE` and `TEXT_MATCH` queries have reached their performance limits, and further improvements in QPS cannot be achieved with these methods. The representative queries under evaluation are as follows:
+
+```sql
+SELECT col1, col2 FROM table WHERE REGEXP_LIKE(col3, '^data*')
+SELECT col1, col2 FROM table WHERE REGEXP_LIKE(col3, 'data$')
+SELECT col1, col2 FROM table WHERE REGEXP_LIKE(col3, '*data*')
+SELECT col1, col2 FROM table WHERE TEXT_MATCH(col3, '/data*/')
+```
+
+The plan is to generate derived columns that persist prefix, postfix, and ngram to use inverted indexes to filter results fast, and add text match indexes to do validation after filtering to avoid false positive results.
+
+## What is N-gram
+
+N-gram breaks down text into overlapping sequences of characters. For example:
+
+**"Apache pinot"** produces:
+- `ap`, `pa`, `ac`, `ch`, `he`, `e `, ` p`, ...
+
+When you match `ngram(col, "ap")`, it searches for the substring "ap" within the generated n-grams.
+
+When you match `ngram(col, 'apache')`, it generates n-grams from "apache" (`ap`, `pa`, `ac`, etc.) and matches against the column's n-grams.
+
+## When to Use N-gram
+
+N-grams solve performance issues with:
+- **Text match** - Avoid full scans
+- **REGEXP_LIKE** - Currently requires full scan
+- **Prefix matching** - Reduce O(N * length of string) complexity
+- **Wildcard matching** - Reduce O(N * length) complexity
+
+### How to Make Wildcards Fast
+Need to do prefiltering to avoid full scan of all rows.
+**How to prefilter → use ngram!**
+
+## Function Parameters
+
+| Function | Parameters | Description |
+|----------|------------|-------------|
+| `prefixes` | `String input, int maxlength` | Generate array of prefix strings shorter than maxlength |
+| `prefixesWithPrefix` | `String input, int maxlength, @Nullable String prefix` | Generate array of prefix matchers with prepended prefix (e.g. '^' for regex) |
+| `suffixes` | `String input, int maxlength` | Generate array of suffix strings shorter than maxlength |
+| `suffixesWithSuffix` | `String input, int maxlength, @Nullable String suffix` | Generate array of suffix matchers with appended suffix (e.g. '$' for regex) |
+| `uniqueNgrams` | `String input, int length` | Generate array of unique ngrams of exact specified length |
+| `uniqueNgrams` | `String input, int minGram, int maxGram` | Generate array of unique ngrams within length range [minGram, maxGram] |
+
+## Usage Examples
+
+### Example Query
+
+```sql
+SELECT organizationUUID, confirmedEmployeeCount, name
+FROM rta.rta.u4b_organizations
+WHERE deletedAt IS NULL
+  AND (IN_SERIALIZED_LIST(entityTypes, 'org:u4b:organization'))
+  AND (TEXT_MATCH(name, '/.*pacific.*/ AND /.*equity.*/')
+       OR TEXT_MATCH(profileName, '/.*pacific.*/ AND /.*equity.*/'))
+ORDER BY confirmedEmployeeCount DESC
+OFFSET 0 LIMIT 10
+```
+
+### Prefix Operations
+
+```sql
+SELECT prefixes('data', 3) AS result
+FROM myTable
+```
+
+| result      |
+| ----------- |
+| ["d", "da", "dat"] |
+
+```sql
+SELECT prefixesWithPrefix('data', 3, '^') AS result
+FROM myTable
+```
+
+| result      |
+| ----------- |
+| ["^d", "^da", "^dat"] |
+
+### Suffix Operations
+
+```sql
+SELECT suffixes('data', 3) AS result
+FROM myTable
+```
+
+| result      |
+| ----------- |
+| ["a", "ta", "ata"] |
+
+```sql
+SELECT suffixesWithSuffix('data', 3, '$') AS result
+FROM myTable
+```
+
+| result      |
+| ----------- |
+| ["a$", "ta$", "ata$"] |
+
+### N-gram Generation
+
+#### Table Config with Transformation
+
+Instead of using SQL UDF, configure n-gram generation during ingestion using `transformationConfig`:
+
+```json
+{
+  "tableName": "myTable",
+  "tableType": "OFFLINE",
+  "ingestionConfig": {
+    "transformationConfigs": [
+      {
+        "columnName": "content_bigrams",
+        "transformFunction": "uniqueNgrams(content, 2)"
+      },
+      {
+        "columnName": "content_ngrams",
+        "transformFunction": "uniqueNgrams(content, 2, 4)"
+      }
+    ]
+  }
+}
+```
+
+#### Query Examples
+
+```sql
+SELECT uniqueNgrams('Apache pinot', 2) AS bigrams
+FROM myTable
+```
+
+| bigrams |
+| ------- |
+| ["Ap", "pa", "ac", "ch", "he", "e ", " p", "pi", "in", "no", "ot"] |
+
+```sql
+SELECT uniqueNgrams('data', 2, 4) AS ngrams
+FROM myTable
+```
+
+| ngrams |
+| ------ |
+| ["da", "at", "ta", "dat", "ata", "data"] |
+
+**Using Generated N-grams**
+
+```sql
+-- Traditional approach (slow)
+SELECT * FROM T WHERE REGEXP_LIKE(field, '*pino.*')
+
+-- Optimized approach with n-gram prefiltering
+SELECT * FROM T
+WHERE ngram = 'pin' AND ngram = 'ino' AND ngram = 'not'
+  AND REGEXP_LIKE(field, '*pino.*')
+```
+
+```sql
+-- Traditional approach for short strings
+SELECT * FROM T WHERE REGEXP_LIKE(field, '*pi.*')
+
+-- Optimized approach (no validation needed when search string ≤ ngram length)
+SELECT * FROM T WHERE ngram = 'pi'
+```
+
+## How to Use N-gram
+
+### Simulated N-gram Approach
+
+This patch creates a simulated ngram approach by storing the grams into a column:
+
+1. **First, use the UDF to generate a ngram column** during data ingestion
+2. **Translate the query with prefilters** to use the ngram column for fast filtering
+3. **Trade-off**: Disk size will grow, but query performance improves significantly
+
+### Implementation Steps
+
+1. Generate derived columns with prefix, postfix, and ngram values
+2. Create inverted indexes on these derived columns
+3. Use prefiltering with ngram indexes to reduce candidate rows
+4. Apply original text match validation to avoid false positives
+
+For more details, see [GitHub PR #12392](https://github.com/apache/pinot/pull/12392).
diff --git a/functions/string-functions.md b/functions/string-functions.md
index d1c30a75..6b985e6a 100644
--- a/functions/string-functions.md
+++ b/functions/string-functions.md
@@ -72,3 +72,5 @@ decode a UTF8-encoded string to bytes represented as a hex string
 [**isSubnetOf(ipPrefix, ipAddress)**](../functions-1/issubnetof.md)\
 checks if ipAddress is in the subnet of the ipPrefix
 
+[**Add Prefix, Suffix & Ngram UDFs**](../functions-1/add-prefix-suffix-ngram-udfs.md)\
+provides prefix, suffix and ngram functionality for string manipulation