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Author: HeidiSteen

articles/search/hybrid-search-how-to-query.md

@@ -21,7 +21,7 @@ In this article, learn how to:
 + Set up a basic hybrid request
 + Add parameters and filters
 + Improve relevance using semantic ranking or vector weights
-+ Optimize query behaviors by controlling text and vector inputs
++ Optimize query behaviors by controlling inputs (`maxTextRecallSize`)
 
 ## Prerequisites
 
@@ -232,7 +232,7 @@ POST https://[service-name].search.windows.net/indexes/[index-name]/docs/search?
     } 
 ```
 
-## Hybrid query examples
+## Examples of hybrid queries
 
 This section has multiple query examples that illustrate hybrid query patterns.
 

articles/search/search-api-preview.md

@@ -44,7 +44,7 @@ Preview features are removed from this list if they're retired or transition to
 | [**Rescoring options for compressed vectors**](vector-search-how-to-quantization.md) | Relevance (scoring) | You can set options to rescore with original vectors instead of compressed vectors. Applies to HNSW and exhaustive KNN vector algorithms, using binary and scalar compression. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true).|
 | [**Lower the dimension requirements for MRL-trained text embedding models on Azure OpenAI**](vector-search-how-to-truncate-dimensions.md) | Index | Text-embedding-3-small and Text-embedding-3-large are trained using Matryoshka Representation Learning (MRL). This allows you to truncate the embedding vectors to fewer dimensions, and adjust the balance between vector index size usage and retrieval quality. A new `truncationDimension` provides the MRL behaviors as an extra parameter in a vector compression configuration. This can only be configured for new vector fields. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Unpack `@search.score` to view subscores in hybrid search results**](hybrid-search-ranking.md#unpack-a-search-score-into-subscores-preview) | Relevance (scoring) | You can investigate Reciprocal Rank Fusion (RRF) ranked results by viewing the individual query subscores of the final merged and scored result. A new `debug` property unpacks the search score. `QueryResultDocumentSubscores`, `QueryResultDocumentRerankerInput`, and `QueryResultDocumentSemanticField` provide the extra detail. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
-| [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md#hybrid-search-with-filters-targeting-vector-subqueries-preview) | Query | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. A new `filterOverride` parameter provides the behaviors. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md#example-hybrid-search-with-filters-targeting-vector-subqueries-preview) | Query | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. A new `filterOverride` parameter provides the behaviors. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Text Split skill (token chunking)**](cognitive-search-skill-textsplit.md) | Applied AI (skills) | This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Azure AI Vision multimodal embedding skill**](cognitive-search-skill-vision-vectorize.md) | Applied AI (skills) | A new skill type that calls Azure AI Vision multimodal API to generate embeddings for text or images during indexing. | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-05-01-preview&preserve-view=true). |
 | [**Azure Machine Learning (AML) skill**](cognitive-search-aml-skill.md) | Applied AI (skills) | AML skill integrates an inferencing endpoint from Azure Machine Learning. In previous preview APIs, it supports connections to deployed custom models in an AML workspace. Starting in the 2024-05-01-preview, you can use this skill in workflows that connect to embedding models in the Azure AI Foundry model catalog. It's also available in the Azure portal, in skillset design, assuming Azure AI Search and Azure Machine Learning services are deployed in the same subscription. | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-05-01-preview&preserve-view=true). |

articles/search/whats-new.md

@@ -78,7 +78,7 @@ Learn about the latest updates to Azure AI Search functionality, docs, and sampl
 | November | Feature | [Portal support for structured data](search-get-started-portal-import-vectors.md). The **Import and vectorize data** wizard now supports Azure SQL, Azure Cosmos DB, and Azure Table Storage. |
 | October | Feature | [Lower the dimension requirements for MRL-trained text embedding models on Azure OpenAI](vector-search-how-to-truncate-dimensions.md). Text-embedding-3-small and Text-embedding-3-large are trained using Matryoshka Representation Learning (MRL). This allows you to truncate the embedding vectors to fewer dimensions, and adjust the balance between vector index size usage and retrieval quality. A new `truncationDimension` in the [2024-09-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true) enables access to MRL compression in text embedding models. This can only be configured for new vector fields. |
 | October | Feature | [Unpack `@search.score` to view subscores in hybrid search results](hybrid-search-ranking.md#unpack-a-search-score-into-subscores-preview). You can investigate Reciprocal Rank Fusion (RRF) ranked results by viewing the individual query subscores of the final merged and scored result. A new `debug` property unpacks the search score. `QueryResultDocumentSubscores`, `QueryResultDocumentRerankerInput`, and `QueryResultDocumentSemanticField` provide the extra detail. These definitions are available in the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
-| October | Feature | [Target filters in a hybrid search to just the vector queries](hybrid-search-how-to-query.md#hybrid-search-with-filters-targeting-vector-subqueries-preview). A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. The new `filterOverride` parameter is available on hybrid queries using the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| October | Feature | [Target filters in a hybrid search to just the vector queries](hybrid-search-how-to-query.md#example-hybrid-search-with-filters-targeting-vector-subqueries-preview). A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. The new `filterOverride` parameter is available on hybrid queries using the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | October | Applied AI (skills) | [Text Split skill (token chunking)](cognitive-search-skill-textsplit.md). This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. The new `unit` parameter and query subscore definitions are found in the [2024-09-01-preview](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | October | API | [2024-09-01-preview](/rest/api/searchservice/search-service-api-versions?view=rest-searchservice-2024-09-01-preview&preserve-view=true). Preview release of REST APIs for truncated dimensions in text-embedding-3 models, targeted vector filtering for hybrid queries, RRF subscore details for debugging, and token chunking for Text Split skill.|
 | October | Feature | [Portal support for customer-managed key encryption (CMK)](search-security-manage-encryption-keys.md#step-4-encrypt-content). When you create new objects in the Azure portal, you can now specify CMK-encryption and select an Azure Key Vault to provide the key. |