GenAI Portal: Model upgrade info

content/en/docs/marketplace/genai/mendix-cloud-genai/mendix-cloud-grp.md

@@ -29,9 +29,14 @@ Mendix Cloud Model Resource Packs provide customers with a monthly quota of inpu
 
 The Mendix Cloud GenAI Resource Packs provide access to the following models:
 
-* Anthropic Claude 3.7 Sonnet (Cross-region inference profile)
-* Anthropic Claude 4 Sonnet (Cross-region inference profile)
-* Cohere Embed v3 (English and multilingual options)
+| Model                       | Model Type | Region(s)                             | Support for Cross-region inference profile | AWS inference regions |
+| ---------------------------- | ---------- | ------------------------------------- | ------------------------------------------ | ---------------------- |
+| Anthropic Claude 4.5 Sonnet | Text       |  Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1, Europe (Paris), eu-south-1, eu-south-2, Europe (Ireland), Europe (Frankfurt) |
+| Anthropic Claude 4 Sonnet   | Text       |  Mendix Cloud EU (Frankfurt, Germany) | YES | Europe (Frankfurt), eu-north-1, eu-south-1, eu-south-2, Europe (Ireland), Europe (Paris) |
+| Anthropic Claude 3.7 Sonnet | Text       |  Mendix Cloud EU (Frankfurt, Germany) | YES | Europe (Frankfurt), eu-north-1, Europe (Ireland), Europe (Paris) |
+| Anthropic Claude 3 Sonnet   | Text       |  Mendix Cloud Canada (Montreal)       | NO | ca-central-1 |
+| Cohere Embed v4             | Embeddings |  Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1, Europe (Paris), eu-south-1, eu-south-2, Europe (Ireland), Europe (Frankfurt) |
+| Cohere Embed v3 <br> English and multilingual      | Embeddings      |  Mendix Cloud EU (Frankfurt, Germany) <br> Mendix Cloud Canada (Montreal) | NO | Europe (Frankfurt), ca-central-1 |
 
 The models are available through the Mendix Cloud, leveraging AWS's highly secure Amazon Bedrock multi-tenant architecture. This architecture employs advanced logical isolation techniques to effectively segregate customer data, requests, and responses, ensuring a level of data protection that aligns with global security compliance requirements. Customer prompts, requests, and responses are neither stored nor used for model training. Your data remains your data.
 
@@ -87,15 +92,6 @@ Knowledge Bases are based on elastically scaling, serverless OpenSearch vector d
 | Memory                                | Elastic       |
 | Disk Space                            | 10 GB         |
 
-## Regional Availability
-
-Mendix Cloud GenAI Resource Packs are available in the following regions of Mendix Cloud:
-
-* Europe (Frankfurt) - eu-central-1
-* Canada (Montreal) - ca-central-1
-
-The availability of model versions depends on the selected region.
-
 ## Understanding Third-Party Requirements
 
 Mendix AI services are powered by third-party technologies, including AWS Bedrock, Anthropic, and Cohere. To help you succeed with your implementation, here is what to do next:

content/en/docs/marketplace/genai/mendix-cloud-genai/navigate_mxgenai.md

@@ -26,7 +26,7 @@ The **Settings** tab contains the details of a GenAI resource. It shows the foll
 * **Cross Region Inference (CRI)**: shows if the model supports cross-region inference ¹.
 * **Cloud Provider**: indicates the cloud provider, for example, AWS.
 * **Type**: this is the type of resource, for example, Text Generation, Embedding, Knowledge Base, etc.
-* **Model**: indicates which model is used, for example, Anthropic Claude Sonnet 3.5.
+* **Model**: indicates which model is used, for example, Anthropic Claude Sonnet 3.5. For more information, see the [Upgrading the Text Model Version](#upgrade-model) section below.
 * **Plan**: indicates the subscription plan used for compute resources (for example, embedding or text generation resources).
 * **Environment**: shows which environment is used, for example, test, acceptance, or production.
 
@@ -36,6 +36,22 @@ The **Settings** tab contains the details of a GenAI resource. It shows the foll
 
 For knowledge base resources, you can also see details of the associated embeddings resource and vice versa. To learn more about embeddings, see the [Embedding vector](/appstore/modules/genai/rag/#embedding-vector) section of *RAG in a Mendix App*.
 
+#### Upgrading the Text Model Version{#upgrade-model}
+
+Model version upgrades let you migrate your Text Generation Resources to a newer, non-deprecated model within the same model family. For example, GenAI Resources offer the Claude Sonnet family, ranging from Claude Sonnet 3.7 to Claude Sonnet 4.5. Upgrading ensures you gain the latest performance improvements and AI capabilities. In the **Settings** tab of your Text Generation Resource, click **Change Model** to view and select the available model version.
+
+{{% alert color="warning" %}}
+While changing the model version, note the following:
+
+* Changing a model version in production requires careful evaluation. Even within the same model family, newer versions can behave differently, and may affect how your LLM-driven applications, such as agents, perform.
+
+* Always validate a new model version in a test environment before using it for your use case, and downgrade to the previous version if required.
+{{% /alert %}}
+
+{{% alert color="info" %}}
+Ensure you are using Mendix Cloud GenAI Connector v5.4.0 or above to see the upgraded model version reflected in your GenAI connectors after upgrading.
+{{% /alert %}}
+
 ### Team
 
 {{< figure src="/attachments/appstore/platform-supported-content/modules/genai/navigate_mxgenai/GenAIResource_Team.png" >}}