rebase and regen

Author: maorleger

sdk/search/search-documents/CHANGELOG.md

@@ -1,17 +1,23 @@
 # Release History
 
-## 12.2.0-beta.3 (2025-10-07)
+## 12.2.0 (2025-10-09)
 
 ### Features Added
 
-- Added API for listing index statistics [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added semantic ranking based on scoring profile boosted score [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added agentic retrieval functionality through `KnowledgeRetrievalClient` and `KnowledgeAgent` [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added ACL functionality for indexer ingestion [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added document-level access control [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added support for vector fields in top-level complex fields [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added `ChatCompletionSkill` as a variant of `WebAPISkill` [#34408](https://github.com/Azure/azure-sdk-for-js/pull/34408)
-- Added `strictPostFilter` option for filtering on global top results [#35924](https://github.com/Azure/azure-sdk-for-js/pull/35924)
+- Added support for `2025-09-01` service version.
+  - Support for running `VectorQuery`s against sub-fields of complex fields.
+  - Support for reranker boosted scores in search results and the ability to sort results on either reranker or reranker
+    boosted scores in `SemanticConfiguration.rankingOrder`.
+  - Support for `VectorSearchCompression.RescoringOptions` to configure how vector compression handles the original
+    vector when indexing and how vectors are used during rescoring.
+  - Added `SearchIndex.description` to provide a textual description of the index.
+  - Support for `LexicalNormalizer` when defining `SearchIndex`, `SimpleField`, and `SearchableField` and the ability to
+    use it when analyzing text with `SearchIndexClient.analyzeText` and `SearchIndexAsyncClient.analyzeText`.
+  - Support `DocumentIntelligenceLayoutSkill` skillset skill and `OneLake` `SearchIndexerDataSourceConnection` data source.
+
+### Other Changes
+
+- Native ESM support has been added, and this package will now emit both CommonJS and ESM.
 
 ## 12.2.0-beta.2 (2024-11-25)
 
@@ -27,7 +33,7 @@
   - Configure through the `markdownParsingSubmode` and `markdownHeaderDepth` properties of `IndexingParametersConfiguration`.
 - Added `DocumentIntelligenceLayoutSkill` [#31792](https://github.com/Azure/azure-sdk-for-js/pull/31792)
 - Added subdomain billing for skillsets [#31792](https://github.com/Azure/azure-sdk-for-js/pull/31792)
-
+ 
 ### Bugs Fixed
 
 - Fixed the type of `SearchResult.documentDebugInfo` to not erroneously describe it as an array [#31792](https://github.com/Azure/azure-sdk-for-js/pull/31792)
@@ -48,8 +54,8 @@
 
 ### Features Added
 
-- Added support for text queries against vector fields [#30494](https://github.com/Azure/azure-sdk-for-js/pull/29597)
-  - Create text queries against vector fields with the `VectorizedTextQuery` variant of `VectorQuery`. Such queries are supported by configuring the corresponding index field with a `VectorSearchVectorizer`. This configuration describes a delegate, which the service uses to generate vector embeddings for the query text.
+- Added support for text queries against vector fields [#30494](https://github.com/Azure/azure-sdk-for-js/pull/29597) 
+  - Create text queries against vector fields with the `VectorizedTextQuery` variant of `VectorQuery`. Such queries are supported by configuring the corresponding index field with a `VectorSearchVectorizer`. This configuration describes a delegate, which the service uses to generate vector embeddings for the query text. 
 - Added `AzureOpenAIEmbeddingSkill` to allow for `SearchIndexer`s to populate embedding fields at index-time.
 - Added index configuration for vector quantization through `VectorSearchCompression`
 

sdk/search/search-documents/eslint.config.mjs

@@ -2,6 +2,9 @@ import azsdkEslint from "@azure/eslint-plugin-azure-sdk";
 
 export default azsdkEslint.config([
   {
+    rules: {
+      "@azure/azure-sdk/ts-naming-options": "warn",
+    },
     files: ["**/*.ts", "**/*.cts", "**/*.mts"],
     languageOptions: {
       parserOptions: {

sdk/search/search-documents/package.json

@@ -1,28 +1,28 @@
 {
   "name": "@azure/search-documents",
-  "version": "12.2.0-beta.3",
-  "description": "Azure client library to use AI Search for node.js and browser.",
+  "version": "12.2.0",
+  "description": "Azure client library to use Cognitive Search for node.js and browser.",
   "sdk-type": "client",
   "main": "./dist/commonjs/index.js",
   "module": "./dist/esm/index.js",
   "types": "./dist/commonjs/index.d.ts",
   "scripts": {
     "build": "npm run clean && dev-tool run build-package && dev-tool run extract-api",
     "build:samples": "tsc -p tsconfig.samples.json",
-    "check-format": "dev-tool run vendored prettier --list-different --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.{ts,mts}\" \"test/**/*.{ts,mts}\" \"samples-dev/**/*.{ts,mts}\" \"*.{js,mjs,json}\"",
+    "check-format": "dev-tool run vendored prettier --list-different --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"samples-dev/**/*.ts\" \"*.{js,json}\"",
     "clean": "dev-tool run vendored rimraf --glob dist dist-* temp types *.tgz *.log",
     "execute:samples": "dev-tool samples run samples-dev",
     "extract-api": "dev-tool run build-package && dev-tool run extract-api",
-    "format": "dev-tool run vendored prettier --write --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.{ts,mts}\" \"test/**/*.{ts,mts}\" \"samples-dev/**/*.{ts,mts}\" \"*.{js,mjs,json}\"",
-    "generate:client": "autorest --typescript swagger/Service.md & autorest --typescript swagger/Data.md & autorest --typescript swagger/KnowledgeAgent.md & wait",
+    "format": "dev-tool run vendored prettier --write --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"samples-dev/**/*.ts\" \"*.{js,json}\"",
+    "generate:client": "autorest --typescript swagger/Service.md & autorest --typescript swagger/Data.md & wait",
     "generate:embeddings": "ts-node scripts/generateSampleEmbeddings.ts",
     "lint": "eslint package.json src test samples-dev",
     "lint:fix": "eslint package.json src test samples-dev --fix --fix-type [problem,suggestion]",
     "pack": "pnpm pack 2>&1",
     "test": "npm run test:node && npm run test:browser",
     "test:browser": "npm run clean && dev-tool run build-package && dev-tool run build-test && dev-tool run test:vitest --browser",
     "test:node": "dev-tool run test:vitest --test-proxy-debug",
-    "update-snippets": "dev-tool run update-snippets"
+    "update-snippets": "echo Skipped."
   },
   "files": [
     "dist/",

sdk/search/search-documents/review/search-documents-browser.api.diff.md

@@ -7,7 +7,7 @@ For the complete API surface, see the corresponding -node.api.md file.
 ===================================================================
 --- NodeJS
 +++ browser
-@@ -594,9 +594,9 @@
+@@ -359,9 +359,9 @@
  // @public
  export type CreateSkillsetOptions = OperationOptions;