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Azure · Oct 10, 2023 · 247e2c0 · 247e2c0
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diff --git a/docs/content/en/docs/Concepts/_index.md b/docs/content/en/docs/Concepts/_index.md
@@ -2,5 +2,5 @@
 title: Concepts
 weight: 4
 description: >
-  Understand the core components of the soltion: Azure Open AI, Azure Cognitive Search, Azure APIM and more.
+  Understand the core components of the solution: Azure Open AI, Azure Cognitive Search, Azure APIM and more.
 ---
diff --git a/docs/content/en/docs/Concepts/azure-apim.md b/docs/content/en/docs/Concepts/azure-apim.md
@@ -11,6 +11,6 @@ Azure API Management is a platform-as-a-service that provides a hybrid, multiclo
 
 ![APIM imagen](https://learn.microsoft.com/en-us/azure/api-management/media/api-management-key-concepts-experiment/api-management-components.png)
 
-In **our solution** we use API Management to manage exposed endpoints, for example, Azure OpenAI, Azure Function and Azure Cognitive Search index. 
+**Activate GenAI with Azure** uses API Management to manage exposed endpoints, for example, Azure OpenAI, Azure Function and Azure Cognitive Search index. 
 
 More information at the offical documentation: [What is APIM?](https://learn.microsoft.com/en-us/azure/api-management/api-management-key-concepts)
diff --git a/docs/content/en/docs/Concepts/azure-application-insights.md b/docs/content/en/docs/Concepts/azure-application-insights.md
@@ -26,6 +26,6 @@ Application Insights provides **other features** including, but not limited to:
 
 Application Insights supports distributed tracing, which is also known as distributed component correlation. This feature allows searching for and visualizing an end-to-end flow of a specific execution or transaction. The ability to trace activity from end to end is important for applications that were built as distributed components or microservices.
 
-In **our solution** we use Application Insights to monitor metrics and logs of the solution. 
+**Activate GenAI with Azure** uses Application Insights to monitor application logs. 
 
 Learn more about Application Insights in the official documentation: [What is Application Insights?](https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview?tabs=net)
diff --git a/docs/content/en/docs/Concepts/azure-cognitive-search.md b/docs/content/en/docs/Concepts/azure-cognitive-search.md
@@ -19,7 +19,7 @@ Search is foundational to any app that surfaces text to users, where common scen
 
 ![Imagen arquitectura Azure Cognitive Search](https://learn.microsoft.com/en-us/azure/search/media/search-what-is-azure-search/azure-search-diagram.svg)
 
-In **our solution** we will use Azure Cognitive Search to serve an index of vectorized content, that will be used by our LLM (ChatGPT) to respond to user's query.
+**Activate GenAI with Azure** uses Azure Cognitive Search to serve an index of vectorized content, that will be used by our LLM (ChatGPT) to respond to user's query.
 
 Learn more at the official documentation: [What is Azure Cognitive Search?](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search).
 

diff --git a/docs/content/en/docs/Concepts/azure-container-apps.md b/docs/content/en/docs/Concepts/azure-container-apps.md
@@ -15,6 +15,6 @@ Common uses of Azure Container Apps include:
 * Handling event-driven processing
 * Running microservices
 
-In **our solution** we use Azure Container Apps to deploy the chat user interface that will answer user queries based on the company's documents.
+**Activate GenAI with Azure** uses Azure Container Apps to deploy the chat user interface that will answer user queries based on the company's documents.
 
 Learn more about Azure Container Apps: [Azure Container Apps documentation?](https://learn.microsoft.com/en-us/azure/container-apps/)
diff --git a/docs/content/en/docs/Concepts/azure-functions.md b/docs/content/en/docs/Concepts/azure-functions.md
@@ -11,6 +11,6 @@ Azure Functions is a serverless solution that allows you to write less code, mai
 
 Functions provides a comprehensive set of event-driven triggers and bindings that connect your functions to other services without having to write extra code. You focus on the code that matters most to you, in the most productive language for you, and Azure Functions handles the rest. 
 
-In **our solution** we use Azure Function to create chunks of the documents text and create embeddings to be added to the Azure Cognitive Search index. 
+**Activate GenAI with Azure** uses Azure Function to create chunks of the documents text and create embeddings to be added to the Azure Cognitive Search index. 
 
 Learn more about Azure Functions: [What is Azure Function?](https://learn.microsoft.com/en-us/azure/azure-functions/functions-overview?pivots=programming-language-csharp). For the best experience with the Functions documentation, choose your preferred development language from the list of native Functions languages at the top of the article.
diff --git a/docs/content/en/docs/Concepts/azure-openai.md b/docs/content/en/docs/Concepts/azure-openai.md
@@ -23,6 +23,6 @@ Important concepts about Azure OpenAI:
 * **Quotas**: the quotas available in Azure are allocated per model and per region, within a subscription. [Learn more about quotas](https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits). In the documentation you can find best practices to manage your quota.
 
 
-In **our solution** we are using Azure OpenAI Embeddings model to vectorize the content and ChatGPT model to conversate with that content. 
+**Activate GenAI with Azure** uses Azure OpenAI Embeddings model to vectorize the content and ChatGPT model to conversate with that content. 
 
 More information at the official documentation: [What is Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/overview)
diff --git a/docs/content/en/docs/Concepts/azure-storage.md b/docs/content/en/docs/Concepts/azure-storage.md
@@ -18,6 +18,6 @@ Blob Storage is designed for:
 * Storing data for backup and restore, disaster recovery, and archiving.
 * Storing data for analysis by an on-premises or Azure-hosted service.
 
-In **our solution** we use Blob Storage to store the documents (PDFs) that will be then vectorized and indexed. 
+**Activate GenAI with Azure** uses Blob Storage to store the documents (PDFs) that will be then vectorized and indexed. 
 
 Learn more about Azure Blob Storage: [What is Azure Blob Storage?](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-overview)
diff --git a/docs/content/en/docs/Concepts/semantic-kernel.md b/docs/content/en/docs/Concepts/semantic-kernel.md
@@ -17,6 +17,6 @@ To help developers build their own Copilot experiences on top of AI plugins, we
 
 ![Image of Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/media/mind-and-body-of-semantic-kernel.png)
 
-In **our solution** we use Semantic Kernel to orchestrate the prompts, Azure OpenAI calls and Azure Cognitive Search queries and results.
+**Activate GenAI with Azure** uses Semantic Kernel to orchestrate the prompts, Azure OpenAI calls and Azure Cognitive Search queries and results.
 
 Learn more at the official documentation of [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/overview/)