Proofread

content/en/docs/genai/mendix-cloud-genai/_index.md

@@ -26,7 +26,7 @@ There are three types of resources:
 ## Getting Started
 
 1. Learn about GenAI Resource Packs and how to acquire them in the [Mendix Cloud GenAI Resource Packs](/agents/mx-cloud-genai/resource-packs/) document.
-2. Once you have access to GenAI resources, log in to the [Mendix Cloud GenAI portal](https://genai.home.mendix.com/) to generate access keys for your resources. This portal provides an overview of all resources you have access to and enables you to request new GenAI resources. For more information, see [Navigate through the Mendix Cloud GenAI Portal](/agents/mx-cloud-genai/Navigate-MxGenAI/).
+2. Once you have access to GenAI resources, sign in to the [Mendix Cloud GenAI portal](https://genai.home.mendix.com/) to generate access keys for your resources. This portal provides an overview of all resources you have access to and enables you to request new GenAI resources. For more information, see [Navigate Through the Mendix Cloud GenAI Portal](/agents/mx-cloud-genai/Navigate-MxGenAI/).
 3. Use a starter app containing the [Mendix Cloud GenAI Connector](https://marketplace.mendix.com/link/component/239449) (for example, the [BlankGenAI starter app](https://marketplace.mendix.com/link/component/227934)) or implement the connector in your Mendix app. For more information on configuration and usage, see [Mendix Cloud GenAI Connector](/agents/mx-cloud-genai/mxgenai-connector/). Once you have imported an access key in the configuration overview, you are connected to Mendix Cloud GenAI and can access available resources within your application. 
 
 ## Relevant Sources

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

@@ -2,7 +2,7 @@
 title: "Mendix Cloud GenAI Resource Packs"
 url: /agents/mx-cloud-genai/resource-packs
 linktitle: "Mendix Cloud GenAI Resource Packs"
-description: "Provides an overview of Mendix Cloud GenAI Resource Packs, including their capabilities, limitations, and frequently asked questions (FAQ)"
+description: "Provides an overview of Mendix Cloud GenAI Resource Packs, including their capabilities, limitations, and frequently asked questions."
 weight: 10
 aliases:
     - /appstore/modules/genai/mx-cloud-genai/resource-packs
@@ -21,6 +21,7 @@ Developers can use the Mendix Portal to manage their Mendix Cloud GenAI resource
 ### General Availability
 
 Mendix Cloud GenAI Resource Packs is a premium Mendix product that requires an additional purchase. To start using GenAI Resource Packs or inquire about pricing, contact your Customer Success Manager (CSM). For more information, you can also reach out to [genai-resource-packs@mendix.com](mailto:genai-resource-packs@mendix.com).
+
 GenAI Resource Packs can be purchased using Mendix Cloud Tokens. For details around costs, refer to [Cloud Tokens](/control-center/cloud-tokens/).
 
 ## Models
@@ -44,7 +45,7 @@ The models are available through the Mendix Cloud, leveraging AWS's highly secur
 Customers looking to leverage other models in addition to the above can also take advantage of Mendix's [(Azure) OpenAI Connector](/agents/reference-guide/external-connectors/openai/), Amazon [Bedrock Connector](/agents/reference-guide/external-connectors/bedrock/), and [Mistral Connector](/agents/reference-guide/external-connectors/mistral/) to integrate numerous other models into their apps.
 
 {{% alert color="info" %}}
-Additional regions will be available in the future. If you have questions about upcoming regions, or would like to explore making models available in your specific region, reach out to `genai-resource-packs@mendix.com`.
+Additional regions will be available in the future. If you have questions about upcoming regions or want to explore making models available in your specific region, reach out to `genai-resource-packs@mendix.com`.
 {{% /alert %}}
 
 ### Technical Details for Model Resource Packs
@@ -58,8 +59,11 @@ Additional regions will be available in the future. If you have questions about
 ## Accessing GenAI Resources
 
 Developers can easily obtain access to GenAI resources through a self-service capability, enabling them to access and manage GenAI resources independently. 
+
 Developers with the required prerequisites can use the self-service capability to provision, deprovision, and manage GenAI resources directly from the Control Center. This enables faster provisioning and reduces manual dependency. 
-For developers who do not have self-service capabilities, GenAI resources can still be provisioned or deprovisioned by contacting sales representatives or customer success manager (CSM) to order an existing stock keeping unit (SKU). 
+
+For developers who do not have self-service capabilities, GenAI resources can still be provisioned or deprovisioned by contacting sales representatives or a Customer Success Manager (CSM) to order an existing stock keeping unit (SKU). 
+
 Both approaches allow users to scale GenAI resources efficiently and explore more generative AI solutions with Mendix.
 
 ### Provisioning GenAI Resources Using the Self-Service Capability
@@ -75,11 +79,11 @@ For further details, refer to the [Prerequisites](/control-center/genai-resource
 
 ### Provisioning GenAI Resources Without Using the Self-Service Capability
 
-If the self-service capability is not available in your environment, you can still provision your GenAI resources by ordering the existing SKU associated to your Mendix subscription. To do so, you can contact your sales representative or CSM.
+If the self-service capability is not available in your environment, you can still provision your GenAI resources by ordering the existing SKU associated with your Mendix subscription. To do so, you can contact your sales representative or CSM.
 
 ## Knowledge Bases
 
-Mendix Cloud Knowledge Base Resource Packs provide customers with an elastic, logically isolated vector database, to use for standard Generative AI architectural patterns such as Retrieval-Augmented Generation (RAG), semantic similarity search, and other Generative AI use cases. The Knowledge Bases on Mendix Cloud are based on AWS's highly secure Amazon Bedrock Knowledge Bases capability, combined with AWS' OpenSearch Serverless database— a widely adopted standard infrastructure for Generative AI Knowledge Bases on AWS, ensuring fast & accurate information retrieval.
+Mendix Cloud Knowledge Base Resource Packs provide customers with an elastic, logically isolated vector database to use for standard Generative AI architectural patterns such as Retrieval-Augmented Generation (RAG), semantic similarity search, and other Generative AI use cases. The Knowledge Bases on Mendix Cloud are based on AWS's highly secure Amazon Bedrock Knowledge Bases capability, combined with AWS' OpenSearch Serverless database—a widely adopted standard infrastructure for Generative AI Knowledge Bases on AWS, ensuring fast and accurate information retrieval.
 
 Knowledge bases enable you to bring your own data for RAG, semantic similarity search, and other generative AI use cases:
 
@@ -116,7 +120,7 @@ Save these links for future reference. Always review the terms before starting d
 Compliance with these terms is mandatory to maintain access to the services.
 {{% /alert %}}
 
-## More resources
+## More Resources
 
 ### Mendix Cloud GenAI Portal
 
@@ -128,7 +132,7 @@ The [Mendix Cloud GenAI Portal](https://genai.home.mendix.com/) allows easy acce
 * Create and manage connection keys to connect your apps with all resources.
 * Track activity logs for team access and connection key management.
 
-For more information, see [Navigate through the Mendix Cloud GenAI Portal](/agents/mx-cloud-genai/Navigate-MxGenAI/).
+For more information, see [Navigate Through the Mendix Cloud GenAI Portal](/agents/mx-cloud-genai/Navigate-MxGenAI/).
 
 ### Mendix Cloud GenAI Connector
 
@@ -146,7 +150,7 @@ For Mendix Cloud GenAI Model Resources using Anthropic’s Claude and Cohere’s
 
 Data stored in GenAI Knowledge Base Resources resides in a logically isolated database, accessible only to you—the customer—via keys you can generate in the Portal.
 
-### How does Mendix Cloud GenAI service Store and Use Data Sent to It?
+### How Does the Mendix Cloud GenAI Service Store and Use Data Sent to It?
 
 Requests (prompts) sent to and responses (answers, embeddings) received from the models are not stored and not used for training. Only metadata—such as token input/output counts—is collected for logging, monitoring, metering, billing, product improvement, and maintenance purposes.
 

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

@@ -1,20 +1,20 @@
 ---
-title: "Navigate through the Mendix Cloud GenAI Portal"
+title: "Navigate Through the Mendix Cloud GenAI Portal"
 url: /agents/mx-cloud-genai/Navigate-MxGenAI/
 linktitle: "Mendix Cloud GenAI Portal"
-description: "Describes how to navigate through the Mendix Cloud GenAI Portal."
+description: "Describes how to navigate through the Mendix Cloud GenAI portal."
 weight: 30
 aliases:
     - /appstore/modules/genai/mx-cloud-genai/Navigate-MxGenAI/
 ---
 
 ## Introduction
 
-The [Mendix Cloud GenAI portal](https://genai.home.mendix.com/) is the part of the Mendix portal that provides access to [Mendix Cloud GenAI Resource Packs](/agents/mx-cloud-genai/resource-packs/). After logging in, you can navigate to the overview of all resources. You can see all resources, that you are a team member of and access their details.
+The [Mendix Cloud GenAI portal](https://genai.home.mendix.com/) is the part of the Mendix portal that provides access to [Mendix Cloud GenAI Resource Packs](/agents/mx-cloud-genai/resource-packs/). After logging in, you can navigate to the overview of all resources. You can see all resources that you are a team member of and access their details.
 
 ## Resource Details 
 
-After clicking on a specific resource, you land on its details page, offering shortcut to consumption insights, key generation, team management, and helpful documentation. 
+After clicking a specific resource, you land on its details page, offering a shortcut to consumption insights, key generation, team management, and helpful documentation. 
 
 {{< figure src="/attachments/genai/navigate_mxgenai/GenAIResource_Details.png" alt="" >}}
 
@@ -32,7 +32,7 @@ The **Settings** tab contains the details of a GenAI resource. It shows the foll
 * **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.
 
-¹ Cross-region inference (CRI) allows a model to redirect requests to another region, helping to distribute the load across multiple regions within the same area. So, EU requests always stay within EU regions. Connecting to a cross-region inference profile does not change how the request is sent; the redirection happens on the server side, determining the region to handle the request to get the fastest response. For more information, see [Increase throughput with cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html). If applicable, CRI profiles are selected during provisioning of a model resource. New models are available under the CRI inferencing type by default. 
+¹ Cross-region inference (CRI) allows a model to redirect requests to another region, helping to distribute the load across multiple regions within the same area. EU requests always stay within EU regions. Connecting to a cross-region inference profile does not change how the request is sent; the redirection happens on the server side, determining the region to handle the request to get the fastest response. For more information, see [Increase throughput with cross-region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html). If applicable, CRI profiles are selected during provisioning of a model resource. New models are available under the CRI inferencing type by default. 
 
 #### Additional Details for Knowledge Base Resources
 
@@ -70,7 +70,7 @@ You can invite members from outside your organization to access your GenAI resou
 
 You can track invitations in the **Pending Invites** tab. Invited users will receive an email with a link to accept or decline the invitation. If they do not yet have a Mendix account, the link redirects them to create one. Once the invitation is accepted, the resource will appear in their GenAI portal overview.
 
-Pending invitations can be withdrawn at any time and will automatically expire after two weeks. External members can create and delete keys, export consumption data, manage knowledge base content and collections, and change the model. However, they can not modify the display name or environment, or manage team membership.
+Pending invitations can be withdrawn at any time and will automatically expire after two weeks. External members can create and delete keys, export consumption data, manage knowledge base content and collections, and change the model. However, they cannot modify the display name or environment, or manage team membership.
 
 ### Keys
 
@@ -86,7 +86,7 @@ Make sure to store it securely, as it will only be shown once.
 
 {{< figure src="/attachments/genai/navigate_mxgenai/GenAIResource_KeyGeneration.png" alt="" >}}
 
-Once created, the key can be used in the Mendix application via the Mendix Cloud GenAI Connector. 
+Once created, the key can be used in the Mendix application via the Mendix Cloud GenAI connector. 
 
 #### Additional Information for Knowledge Base Resource Keys
 
@@ -143,7 +143,7 @@ Instead of relying solely on similarity-based searches of ticket descriptions, u
 
 #### Add Data from a Mendix Application
 
-You can upload data directly from Mendix to the Knowledge Base. To do so, several operations of the Mendix Cloud GenAI Connector are required. For a detailed guide on this process, see the [Add Data Chunks to Your Knowledge Base](/agents/mx-cloud-genai/mxgenai-connector/#add-data-chunks-to-your-knowledge-base) section of **Mendix Cloud GenAI Connector**.
+You can upload data directly from Mendix to the Knowledge Base. To do so, several operations of the Mendix Cloud GenAI connector are required. For a detailed guide on this process, see the [Add Data Chunks to Your Knowledge Base](/agents/mx-cloud-genai/mxgenai-connector/#add-data-chunks-to-your-knowledge-base) section of *Mendix Cloud GenAI Connector*.
 
 ### Consumption (Only for Text and Embeddings Generation Resources)