Merge pull request #500 from microsoft/update-readme-dg

docs: Fix typo in 2 files

Author: Roopan-Microsoft

.github/workflows/broken-links-checker.yml

@@ -54,4 +54,4 @@ jobs:
             '**/*.md'
           failIfEmpty: false
         env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

README.md

@@ -104,8 +104,8 @@ _Note: This is not meant to outline all costs as selected SKUs, scaled use, cust
 
 | Product | Description | Cost |
 |---|---|---|
-| [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/) | Used for chat exerpeince/RAG in wen app, data processing workflow for extraction and summarization. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
-| [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/) | Processed and extracted document information is added to an Azure AI Search vecortized index. | [Pricing](https://learn.microsoft.com/en-us/azure/search/) |
+| [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/) | Used for chat experience/RAG in web app, data processing workflow for extraction and summarization. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
+| [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/) | Processed and extracted document information is added to an Azure AI Search vectorized index. | [Pricing](https://learn.microsoft.com/en-us/azure/search/) |
 | [Azure AI Document Intelligence](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/)| Used during data processing workflow where documents have Optical Character Recognition (OCR) applied to extract data. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/ai-document-intelligence/) |
 | [Azure Container Registry](https://learn.microsoft.com/en-us/azure/container-registry/)| Private registry where the Document Processor, AI Service, and Web App images are built, stored and managed. | [Pricing](https://azure.microsoft.com/pricing/details/container-registry/) |
 | [Azure Kubernetes Service (AKS)](https://learn.microsoft.com/azure/aks/)| The solution is deployed as a managed container app with with high availability, scalability, and region portability. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/kubernetes-service/) |

docs/DataProcessing.md

@@ -32,7 +32,7 @@ There are two methods to use your own data in this solution. It takes roughly 10
 You can upload through the user interface files that you would like processed. These files are uploaded to blob storage, processed, and added to the Azure AI Search index. File uploads are limited to 500MB and restricted to the following file formats: Office Files, TXT, PDF, TIFF, JPG, PNG.
 
 2. <u>Bulk File Processing</u><br/>
-You can take buik file processing since the web app saves uploaded files here also. This would be the ideal to upload a large number of document or files that are large in size. 
+You can take bulk file processing since the web app saves uploaded files here also. This would be the ideal to upload a large number of document or files that are large in size. 
 
     > **Document Upload Limit:** <br/>
     Please ensure that the document you upload does not exceed a maximum size of 250 MB.