Skip to content

Commit 67e1deb

Browse files
haileytaphaileytap
committed
Updated content about Cohere models
1 parent e74c0df commit 67e1deb

6 files changed

+18
-19
lines changed

‎articles/search/search-get-started-portal-import-vectors.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -10,7 +10,7 @@ ms.custom:
1010
- build-2024
1111
- ignite-2024
1212
ms.topic: quickstart
13-
ms.date: 07/16/2025
13+
ms.date: 07/17/2025
1414
---
1515

1616
# Quickstart: Vectorize text in the Azure portal
@@ -49,7 +49,7 @@ For integrated vectorization, you must use one of the following embedding models
4949
|--|--|
5050
| [Azure OpenAI in Azure AI Foundry Models](/azure/ai-services/openai/how-to/create-resource) <sup>1, 2</sup> | text-embedding-ada-002<br>text-embedding-3-small<br>text-embedding-3-large |
5151
| [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource#azure-ai-multi-services-resource-for-azure-ai-search-skills) <sup>3</sup> | For text and images: [Azure AI Vision multimodal](/azure/ai-services/computer-vision/how-to/image-retrieval) <sup>4</sup></li> |
52-
| [Azure AI Foundry model catalog](/azure/ai-foundry/what-is-azure-ai-foundry) | For text:<br>Cohere-embed-v3-english<br>Cohere-embed-v3-multilingual<br><br>For images:<br>Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant<br><br>For text and images:<br>embed-v-4-0 <sup>5</sup> |
52+
| [Azure AI Foundry model catalog](/azure/ai-foundry/what-is-azure-ai-foundry) | For images:<br>Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant<br><br>For text and images:<br>Cohere-embed-v3-english<br>Cohere-embed-v3-multilingual<br>embed-v-4-0 <sup>5</sup> |
5353

5454
<sup>1</sup> The endpoint of your Azure OpenAI resource must have a [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains), such as `https://my-unique-name.openai.azure.com`. If you created your resource in the [Azure portal](https://portal.azure.com/), this subdomain was automatically generated during resource setup.
5555

‎articles/search/search-how-to-integrated-vectorization.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@ author: haileytap
77
ms.author: haileytapia
88
ms.service: azure-ai-search
99
ms.topic: how-to
10-
ms.date: 07/16/2025
10+
ms.date: 07/17/2025
1111
---
1212

1313
# Set up integrated vectorization in Azure AI Search using REST
@@ -48,7 +48,7 @@ For integrated vectorization, you must use one of the following embedding models
4848
|--|--|
4949
| [Azure OpenAI in Azure AI Foundry Models](/azure/ai-services/openai/how-to/create-resource) <sup>1, 2</sup> | text-embedding-ada-002<br>text-embedding-3-small<br>text-embedding-3-large |
5050
| [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills) <sup>3</sup> | For text and images: [Azure AI Vision multimodal](/azure/ai-services/computer-vision/how-to/image-retrieval) <sup>4</sup></li> |
51-
<!--| [Azure AI Foundry model catalog](/azure/ai-foundry/what-is-azure-ai-foundry) | For text:<br>Cohere-embed-v3-english<br>Cohere-embed-v3-multilingual<br><br>For images:<br>Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant<br>For text and images:<br>embed-v-4-0|-->
51+
<!--| [Azure AI Foundry model catalog](/azure/ai-foundry/what-is-azure-ai-foundry) | For images:<br>Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant<br>For text and images:<br>Cohere-embed-v3-english<br>Cohere-embed-v3-multilingual<br>embed-v-4-0|-->
5252

5353
<sup>1</sup> The endpoint of your Azure OpenAI resource must have a [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains), such as `https://my-unique-name.openai.azure.com`. If you created your resource in the [Azure portal](https://portal.azure.com/), this subdomain was automatically generated during resource setup.
5454

‎articles/search/tutorial-rag-build-solution-models.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@ ms.service: azure-ai-search
99
ms.update-cycle: 180-days
1010
ms.topic: tutorial
1111
ms.custom: references_regions
12-
ms.date: 07/16/2025
12+
ms.date: 07/17/2025
1313

1414
---
1515

@@ -52,11 +52,11 @@ Azure AI Search provides skill and vectorizer support for the following embeddin
5252

5353
| Client | Embedding models | Skill | Vectorizer |
5454
|--------|------------------|-------|------------|
55-
| Azure OpenAI | text-embedding-ada-002, <br>text-embedding-3-large, <br>text-embedding-3-small | [AzureOpenAIEmbedding](cognitive-search-skill-azure-openai-embedding.md) | [AzureOpenAIEmbedding](vector-search-vectorizer-azure-open-ai.md) |
55+
| Azure OpenAI | text-embedding-ada-002<br>text-embedding-3-large<br>text-embedding-3-small | [AzureOpenAIEmbedding](cognitive-search-skill-azure-openai-embedding.md) | [AzureOpenAIEmbedding](vector-search-vectorizer-azure-open-ai.md) |
5656
| Azure AI Vision | multimodal 4.0 <sup>1</sup> | [AzureAIVision](cognitive-search-skill-vision-vectorize.md) | [AzureAIVision](vector-search-vectorizer-ai-services-vision.md) |
57-
| Azure AI Foundry model catalog | Facebook-DinoV2-Image-Embeddings-ViT-Base, <br>Facebook-DinoV2-Image-Embeddings-ViT-Giant, <br>Cohere-embed-v3-english, <br>Cohere-embed-v3-multilingual, <br>embed-v-4-0 <sup>1, 2</sup> | [AML](cognitive-search-aml-skill.md) <sup>3</sup> | [Azure AI Foundry model catalog](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md) |
57+
| Azure AI Foundry model catalog | Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant<br>Cohere-embed-v3-english <sup>1</sup><br>Cohere-embed-v3-multilingual <sup>1</sup><br>embed-v-4-0 <sup>1, 2</sup> | [AML](cognitive-search-aml-skill.md) <sup>3</sup> | [Azure AI Foundry model catalog](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md) |
5858

59-
<sup>1</sup> Supports image and text vectorization.
59+
<sup>1</sup> Supports text and image vectorization.
6060

6161
<sup>2</sup> At this time, you can only specify `embed-v-4-0` programmatically through the [AML skill](cognitive-search-aml-skill.md) or [Azure AI Foundry model catalog vectorizer](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md), not through the Azure portal. However, you can use the portal to manage the skillset or vectorizer afterward.
6262

‎articles/search/vector-search-how-to-configure-vectorizer.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -10,7 +10,7 @@ ms.update-cycle: 180-days
1010
ms.custom:
1111
- build-2024
1212
ms.topic: how-to
13-
ms.date: 07/16/2025
13+
ms.date: 07/17/2025
1414
---
1515

1616
# Configure a vectorizer in a search index
@@ -43,8 +43,8 @@ The following table lists the embedding models that can be used with a vectorize
4343

4444
| Vectorizer kind | Model names | Model provider | Associated skill |
4545
|-----------------|------------|----------------|------------------|
46-
| [`azureOpenAI`](vector-search-vectorizer-azure-open-ai.md) | text-embedding-ada-002, text-embedding-3 | Azure OpenAI | [AzureOpenAIEmbedding skill](cognitive-search-skill-azure-openai-embedding.md) |
47-
| [`aml`](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md) | Facebook-DinoV2-Image-Embeddings, Cohere-embed-v3, embed-v-4-0 <sup>1</sup> | [Azure AI Foundry model catalog](vector-search-integrated-vectorization-ai-studio.md) | [AML skill](cognitive-search-aml-skill.md) |
46+
| [`azureOpenAI`](vector-search-vectorizer-azure-open-ai.md) | text-embedding-ada-002<br>text-embedding-3 | Azure OpenAI | [AzureOpenAIEmbedding skill](cognitive-search-skill-azure-openai-embedding.md) |
47+
| [`aml`](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md) | Facebook-DinoV2-Image-Embeddings<br>Cohere-embed-v3<br>embed-v-4-0 <sup>1</sup> | [Azure AI Foundry model catalog](vector-search-integrated-vectorization-ai-studio.md) | [AML skill](cognitive-search-aml-skill.md) |
4848
| [`aiServicesVision`](vector-search-vectorizer-ai-services-vision.md) | [Multimodal embeddings 4.0 API](/azure/ai-services/computer-vision/concept-image-retrieval) | Azure AI Vision (through an Azure AI services multi-service account) | [Azure AI Vision multimodal embeddings skill](cognitive-search-skill-vision-vectorize.md) |
4949
| [`customWebApi`](vector-search-vectorizer-custom-web-api.md) | Any embedding model | Hosted externally | [Custom Web API skill](cognitive-search-custom-skill-web-api.md) |
5050

‎articles/search/vector-search-integrated-vectorization-ai-studio.md

Lines changed: 3 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ ms.service: azure-ai-search
88
ms.custom:
99
- build-2024
1010
ms.topic: how-to
11-
ms.date: 07/16/2025
11+
ms.date: 07/17/2025
1212
---
1313

1414
# Use embedding models from Azure AI Foundry model catalog for integrated vectorization
@@ -37,9 +37,8 @@ Integrated vectorization and the [Import and vectorize data wizard](search-impor
3737

3838
| Embedding type | Supported models |
3939
|--|--|
40-
| Text | Cohere-embed-v3-english, Cohere-embed-v3-multilingual|
41-
| Image | Facebook-DinoV2-Image-Embeddings-ViT-Base, Facebook-DinoV2-Image-Embeddings-ViT-Giant |
42-
| Multimodal (text and image) | embed-v-4-0 <sup>1</sup> |
40+
| Image | Facebook-DinoV2-Image-Embeddings-ViT-Base<br>Facebook-DinoV2-Image-Embeddings-ViT-Giant |
41+
| Text and image (multimodal) | Cohere-embed-v3-english<br>Cohere-embed-v3-multilingual<br>embed-v-4-0 <sup>1</sup> |
4342

4443
<sup>1</sup> At this time, you can only specify `embed-v-4-0` programmatically through the [AML skill](cognitive-search-aml-skill.md) or [Azure AI Foundry model catalog vectorizer](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md), not through the Azure portal. However, you can use the portal to manage the skillset or vectorizer afterward.
4544

‎articles/search/vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ ms.service: azure-ai-search
88
ms.custom:
99
- build-2024
1010
ms.topic: reference
11-
ms.date: 07/16/2024
11+
ms.date: 07/17/2024
1212
---
1313

1414
# Azure AI Foundry model catalog vectorizer
@@ -53,9 +53,9 @@ Which vector query types are supported by the Azure AI Foundry model catalog vec
5353
|--------------------|-------------|-------------|-------------|
5454
| Facebook-DinoV2-Image-Embeddings-ViT-Base | | X | X |
5555
| Facebook-DinoV2-Image-Embeddings-ViT-Giant | | X | X |
56-
| Cohere-embed-v3-english | X | | |
57-
| Cohere-embed-v3-multilingual | X | | |
58-
| Cohere-embed-v4 | X | X | X |
56+
| Cohere-embed-v3-english | X | | X |
57+
| Cohere-embed-v3-multilingual | X | | X |
58+
| Cohere-embed-v4 | X | | X |
5959

6060
## Expected field dimensions
6161

0 commit comments

Comments
 (0)