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articles/ai-services/speech-service/voice-live-api-reference.md

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@@ -1940,8 +1940,9 @@ Configuration for input audio transcription.
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|-------|------|-------------|
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| model | string | The transcription model. Supported: `whisper-1`, `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, `azure-speech` |
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| language | string | Optional language code in BCP-47 (e.g., `en-US`), or ISO-639-1 (e.g., `en`), or multi languages with auto detection, (e.g., `en,zh`). |
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| custom_speech | object | Optional configuration for custom speech models |
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| phrase_list | string[] | Optional list of phrase hints to bias recognition |
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| custom_speech | object | Optional configuration for custom speech models, only valid for `azure-speech` model. |
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| phrase_list | string[] | Optional list of phrase hints to bias recognition, only valid for `azure-speech` model. |
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| prompt | string | Optional prompt text to guide transcription, only valid for `whisper-1`, `gpt-4o-transcribe`, and `gpt-4o-mini-transcribe` models. |
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#### RealtimeInputAudioNoiseReductionSettings
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| languages | string[] | Optional. Supported languages |
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| auto_truncate | boolean | Optional. Auto-truncate on interruption (default: false) |
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#### RealtimeEOUDetection
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### RealtimeEOUDetection
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End-of-utterance semantic detection configuration.
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##### RealtimeAzureSemanticDetection
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Azure semantic end-of-utterance detection (default).
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Azure End-of-Utterance (EOU) could indicate when the end-user stopped speaking while allowing for natural pauses. End of utterance detection can significantly reduce premature end-of-turn signals without adding user-perceivable latency.
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| Field | Type | Description |
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|-------|------|-------------|
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| model | string | Must be `"semantic_detection_v1"` |
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| threshold | number | Optional. Detection threshold |
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| timeout | number | Optional. Detection timeout |
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| model | string | Could be `semantic_detection_v1` supporting English or `semantic_detection_v1_multilingual` supporting English, Spanish, French, Italian, German (DE), Japanese, Portuguese, Chinese, Korean, Hindi |
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| threshold_level | string | Optional. Detection threshold level (`low`, `medium`, `high` and `default`), the default is `default` |
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| timeout_ms | number | Maximum time in milliseconds to wait for more user speech. Defaults to 1000 ms. |
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### Avatar Configuration
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articles/machine-learning/how-to-use-mlflow-configure-tracking.md

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@@ -35,7 +35,7 @@ However, if you work outside Azure Machine Learning, you need to configure MLflo
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```
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> [!TIP]
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> Instead of `mlflow`, consider using [`mlflow-skinny`](https://github.com/mlflow/mlflow/blob/master/skinny/README_SKINNY.md). This package is a lightweight MLflow package without SQL storage, server, UI, or data science dependencies. It's recommended for users who primarily need MLflow tracking and logging capabilities but don't want to import the full suite of features, including deployments.
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> Instead of `mlflow`, consider using [`mlflow-skinny`](https://github.com/mlflow/mlflow/blob/master/libs/skinny/README_SKINNY.md). This package is a lightweight MLflow package without SQL storage, server, UI, or data science dependencies. It's recommended for users who primarily need MLflow tracking and logging capabilities but don't want to import the full suite of features, including deployments.
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- An Azure Machine Learning workspace. To create a workspace, see [Create resources you need to get started](quickstart-create-resources.md).
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articles/search/cognitive-search-attach-cognitive-services.md

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1. Remove the key in the body of the definition, and then send the request:
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```http
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PUT https://[servicename].search.windows.net/skillsets/[skillset name]?api-version=2024-07-01
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PUT https://[servicename].search.windows.net/skillsets/[skillset name]?api-version=@search.rerankerBoostedScore
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api-key: [admin key]
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Content-Type: application/json
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{

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

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@@ -105,7 +105,7 @@ The following example shows a hybrid query request using the REST API.
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This example is from the [vector quickstart](https://raw.githubusercontent.com/Azure-Samples/azure-search-rest-samples/refs/heads/main/Quickstart-vectors/az-search-quickstart-vectors.rest) that has vector and nonvector content, and several query examples. For brevity, the vector is truncated in this article.
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```http
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2024-07-01
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=@search.rerankerBoostedScore
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Content-Type: application/json
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api-key: {{admin-api-key}}
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{
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This example adds a filter, which is applied to the `filterable` nonvector fields of the search index.
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```http
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2024-07-01
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=@search.rerankerBoostedScore
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Content-Type: application/json
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api-key: {{admin-api-key}}
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{
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Whenever you use semantic ranking with vectors, make sure `k` is set to 50. Semantic ranker uses up to 50 matches as input. Specifying less than 50 deprives the semantic ranking models of necessary inputs.
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```http
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2024-07-01
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=@search.rerankerBoostedScore
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Content-Type: application/json
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api-key: {{admin-api-key}}
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{
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Here's the last query in the collection. It's the same semantic hybrid query as the previous example, but with a filter.
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```http
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2024-07-01
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=@search.rerankerBoostedScore
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Content-Type: application/json
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api-key: {{admin-api-key}}
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{

articles/search/hybrid-search-overview.md

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A representative hybrid query might be as follows (notice that the vector queries have placeholder values for brevity):
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```http
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POST https://{{searchServiceName}}.search.windows.net/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01
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POST https://{{searchServiceName}}.search.windows.net/indexes/hotels-vector-quickstart/docs/search?api-version=@search.rerankerBoostedScore
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content-type: application/JSON
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{
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"count": true,

articles/search/includes/quickstarts/full-text-powershell.md

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1. Create a `$url` object that targets the indexes collection on your search service. Replace `<YOUR-SEARCH-SERVICE>` with the value you obtained in [Get endpoint](#get-endpoint).
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```powershell
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$url = "<YOUR-SEARCH-SERVICE>/indexes?api-version=2024-07-01&`$select=name"
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$url = "<YOUR-SEARCH-SERVICE>/indexes?api-version=@search.rerankerBoostedScore&`$select=name"
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```
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1. Run `Invoke-RestMethod` to send a GET request to your search service. Include `ConvertTo-Json` to view responses from the service.
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2. Update the `$url` object to target the new index. Replace `<YOUR-SEARCH-SERVICE>` with the value you obtained in [Get endpoint](#get-endpoint).
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```powershell
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$url = "<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart?api-version=2024-07-01"
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$url = "<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart?api-version=@search.rerankerBoostedScore"
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```
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3. Run `Invoke-RestMethod` to create the index on your search service.
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2. Update the `$url` object to target the indexing endpoint. Replace `<YOUR-SEARCH-SERVICE>` with the value you obtained in [Get endpoint](#get-endpoint).
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```powershell
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$url = "<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs/index?api-version=2024-07-01"
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$url = "<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs/index?api-version=@search.rerankerBoostedScore"
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```
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3. Run `Invoke-RestMethod` to send the upload request to your search service.
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1. Update the `$url` object to specify search parameters. Replace `<YOUR-SEARCH-SERVICE>` with the value you obtained in [Get endpoint](#get-endpoint).
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```powershell
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=2024-07-01&search=attached restaurant&searchFields=Description,Tags&$select=HotelId,HotelName,Tags,Description&$count=true'
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=@search.rerankerBoostedScore&search=attached restaurant&searchFields=Description,Tags&$select=HotelId,HotelName,Tags,Description&$count=true'
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```
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2. Run `Invoke-RestMethod` to send the query request to your search service.
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# Query example 1
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# Search the index for the terms 'restaurant' and 'wifi'
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# Return only the HotelName, Description, and Tags fields
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=2024-07-01&search=restaurant wifi&$count=true&$select=HotelName,Description,Tags'
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=@search.rerankerBoostedScore&search=restaurant wifi&$count=true&$select=HotelName,Description,Tags'
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# Query example 2
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# Use a filter to find hotels rated 4 or higher
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# Return only the HotelName and Rating fields
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=2024-07-01&search=*&$filter=Rating gt 4&$select=HotelName,Rating'
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=@search.rerankerBoostedScore&search=*&$filter=Rating gt 4&$select=HotelName,Rating'
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# Query example 3
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=2024-07-01&search=boutique&$top=2&$select=HotelName,Category'
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=@search.rerankerBoostedScore&search=boutique&$top=2&$select=HotelName,Category'
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# Query example 4
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# Sort by a specific field (Address/City) in ascending order
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# Return only the HotelName, Address/City, Tags, and Rating fields
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=2024-07-01&search=pool&$orderby=Address/City asc&$select=HotelName, Address/City, Tags, Rating'
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$url = '<YOUR-SEARCH-SERVICE>/indexes/hotels-quickstart/docs?api-version=@search.rerankerBoostedScore&search=pool&$orderby=Address/City asc&$select=HotelName, Address/City, Tags, Rating'
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```

articles/search/includes/quickstarts/full-text-rest.md

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@token = PUT-YOUR-PERSONAL-IDENTITY-TOKEN-HERE
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### List existing indexes by name
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```
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```http
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### Create a new index
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### Upload documents
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POST {{baseUrl}}/indexes/hotels-quickstart/docs/index?api-version=@search.rerankerBoostedScore HTTP/1.1
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### Run a query
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POST {{baseUrl}}/indexes/hotels-quickstart/docs/search?api-version=@search.rerankerBoostedScore HTTP/1.1
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articles/search/includes/quickstarts/search-get-started-rbac-rest.md

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@token = PUT-YOUR-PERSONAL-IDENTITY-TOKEN-HERE
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Content-Type: application/json
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```

articles/search/includes/quickstarts/search-get-started-vector-rest.md

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```http
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### Create a new index
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```http
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### Run a single vector query
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### Run a vector query with a filter
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```http
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### Run a vector query with a geo filter
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```http
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### Run a hybrid query
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```http
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### Run a hybrid query with semantic reranking
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```http
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```

articles/search/includes/tutorials/skillset-rest.md

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```http
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### Create a data source
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### Create a skillset
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### Query the index\
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```http
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### Filter by organization
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