Fixing streamlit lab

Azure · Sep 2, 2024 · b92283c · b92283c
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diff --git a/...istry/CurrentUser/software/microsoft/csdevkit/v1/pids/13146_133577387566916475/values.xml b/...istry/CurrentUser/software/microsoft/csdevkit/v1/pids/13146_133577387566916475/values.xml
diff --git a/labs/00-setup/README.md b/labs/00-setup/README.md
@@ -10,11 +10,11 @@ During these labs, we'll make use of a *Completions* model and an *Embeddings* m
 
 Someone may have already set these up for you to use, however if you need to deploy your own you can follow these instructions.
 
-1. Check if you already have an Azure OpenAI service deployed. Go to the Azure Portal and in the top search bar, enter `openai`. You'll then see **Azure OpenAI** listed under **Services**.  Click on **Azure OpenAI** to see all deployed services.
+1. Check if you already have an Azure OpenAI Service deployed. Go to the Azure Portal and in the top search bar, enter `openai`. You'll then see **Azure OpenAI** listed under **Services**.  Click on **Azure OpenAI** to see all deployed services.
 
 ![Alt text](images/search-openai.png)
 
-On the next page, you should see a list of deployed services. If you have one and are able to access it, click on it. Otherwise, click the **+ Create** button at the top of the page to create a new Azure OpenAI service.
+On the next page, you should see a list of deployed services. If you have one and are able to access it, click on it. Otherwise, click the **+ Create** button at the top of the page to create a new Azure OpenAI Service.
 
 ![Alt text](images/openai-service-list.png)
 
@@ -39,11 +39,11 @@ You can see above that we have a *completions* model `gpt-35-turbo` with version
 Make a note of both the **deployment name** and the **model name** for each of the two deployments.
 
 ## Environment Configuration
-We need to update a configuration file in this repo so that the labs are able to make use of your Azure OpenAI service. In the root of this repository, you will see a file named `env.example`. Make a copy of this file in the same location (the root of the repository) and rename the file to `.env` (don't forget the period at the beginning of the filename!)
+We need to update a configuration file in this repo so that the labs are able to make use of your Azure OpenAI Service. In the root of this repository, you will see a file named `env.example`. Make a copy of this file in the same location (the root of the repository) and rename the file to `.env` (don't forget the period at the beginning of the filename!)
 
 Here's a detailed list of what you need to enter into the `.env` file and where to find the information you need to supply.
 
-OPTIONAL: The `OPENAI_API_TYPE` value can be set to one of two values, depending on how you plan to authenticate to the Azure OpenAI service. To use an API key, set this to `azure` (default). To use Azure AD authentication, set this to `azure_ad` (currently not supported by this lab)
+OPTIONAL: The `OPENAI_API_TYPE` value can be set to one of two values, depending on how you plan to authenticate to the Azure OpenAI Service. To use an API key, set this to `azure` (default). To use Azure AD authentication, set this to `azure_ad` (currently not supported by this lab)
 
 ```
 OPENAI_API_TYPE = "azure"
@@ -75,7 +75,7 @@ The `OPENAI_API_VERSION` is used for the Azure OpenAI API to determine which ver
 OPENAI_API_VERSION = "2023-09-01-preview"
 ```
 
-The next sections all relate to the models you have deployed in the Azure OpenAI service.
+The next sections all relate to the models you have deployed in the Azure OpenAI Service.
 
 First is `AZURE_OPENAI_COMPLETION_MODEL`. This is the name of the **completions model**. It's likely to be `gpt-35-turbo`, but if you're using a different completions model, provide the name of the model here.
 
@@ -87,7 +87,7 @@ Note for this value, it's the name of the **model**, NOT the name of the **deplo
 AZURE_OPENAI_COMPLETION_MODEL = "gpt-35-turbo"
 ```
 
-The next two items are the **deployments** you have created using the Azure OpenAI service. First is the name of the deployment for the completions model and can be found in the **Deployment name** column of the **Deployments** page in Azure AI Studio.
+The next two items are the **deployments** you have created using the Azure OpenAI Service. First is the name of the deployment for the completions model and can be found in the **Deployment name** column of the **Deployments** page in Azure AI Studio.
 
 ![Alt text](images/completion-deployment.png)
 

diff --git a/labs/02-integrating-ai/01-AzureOpenAIAPI/azureopenaiapi.ipynb b/labs/02-integrating-ai/01-AzureOpenAIAPI/azureopenaiapi.ipynb
@@ -194,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.5"
   },
   "orig_nbformat": 4
  },

diff --git a/labs/03-orchestration/02-Embeddings/embeddings.ipynb b/labs/03-orchestration/02-Embeddings/embeddings.ipynb
@@ -433,13 +433,11 @@
     "\n",
     "Choose one or more of the following Vector Store and AI Orchestration options:\n",
     "\n",
-    "📣 [Qdrant with Langchain](../03-Qdrant/qdrant.ipynb)\n",
+    "📣 [Implement Retrieval Augmented Generation with Qdrant as vector store](../03-VectorStore/qdrant.ipynb)\n",
     "\n",
-    "📣 [Azure AI Search with Semantic Kernel and C#](../04-ACS/acs-sk-csharp.ipynb)\n",
+    "📣 [Implement Retrieval Augmented Generation with Azure CosmosDB as vector store and as semantic cache](../03-VectorStore/mongo.ipynb)\n",
     "\n",
-    "📣 [Azure AI Search with Semantic Kernel and Python](../04-ACS/acs-sk-python.ipynb)\n",
-    "\n",
-    "📣 [Azure AI Search with Langchain and Python](../04-ACS/acs-lc-python.ipynb)"
+    "📣 [Implement Retrieval Augmented Generation with Azure AI Search as vector store with semantic ranking](../03-VectorStore/aisearch.ipynb)"
    ]
   }
  ],
@@ -459,7 +457,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.3"
   },
   "orig_nbformat": 4
  },

diff --git a/...-orchestration/04-ACS/acs-lc-python.ipynb → ...chestration/03-VectorStore/aisearch.ipynb b/...-orchestration/04-ACS/acs-lc-python.ipynb → ...chestration/03-VectorStore/aisearch.ipynb
diff --git a/labs/03-orchestration/03-VectorStore/mongo.ipynb b/labs/03-orchestration/03-VectorStore/mongo.ipynb
@@ -454,11 +454,7 @@
    "source": [
     "## Next Section\n",
     "\n",
-    "📣 [Azure AI Search with Semantic Kernel and C#](../04-ACS/acs-sk-csharp.ipynb)\n",
-    "\n",
-    "📣 [Azure AI Search with Semantic Kernel and Python](../04-ACS/acs-sk-python.ipynb)\n",
-    "\n",
-    "📣 [Azure AI Search with Langchain and Python](../04-ACS/acs-lc-python.ipynb)"
+    "📣 [Implement Retrieval Augmented Generation with Azure AI Search as vector store with semantic ranking](./aisearch.ipynb)"
    ]
   }
  ],

diff --git a/labs/03-orchestration/03-VectorStore/qdrant.ipynb b/labs/03-orchestration/03-VectorStore/qdrant.ipynb
@@ -307,9 +307,9 @@
    "source": [
     "## Next Section\n",
     "\n",
-    "📣 [Azure AI Search with Semantic Kernel and C#](../04-ACS/acs-sk-csharp.ipynb)\n",
+    "📣 [Implement Retrieval Augmented Generation with Azure CosmosDB as vector store and as semantic cache](./mongo.ipynb)\n",
     "\n",
-    "📣 [Azure AI Search with Langchain and Python](../04-ACS/acs-lc-python.ipynb)"
+    "📣 [Implement Retrieval Augmented Generation with Azure AI Search as vector store with semantic ranking](./aisearch.ipynb)"
    ]
   }
  ],