UPDATED POSTMAN

README.md

@@ -74,7 +74,7 @@ We provide multiple demo solutions to get you started.
 | [.NET](demo-dotnet/readme.md) | Creates vector representations of images or text | A .NET Console App that calls Azure OpenAI to create vectorized data. We used this console app to create the sample data for the demo index. You can revise your copy of the notebook to test vector search with other data and your own schemas. See the [sample readme](/demo-dotnet/readme.md) for instructions on console app setup. |                                                                                                                     |
 | [Python](demo-python/readme.md) | Creates vector representations of images or text | A notebook that calls Azure OpenAI to create vectorized data. We used this notebook to create the sample data for the demo index. You can revise your copy of the notebook to test vector search with other data and your own schemas. See the [sample readme](/demo-python/readme.md) for instructions on notebook setup. |                                                                                                                                  |
 | [JavaScript](demo-javascript/readme.md) | Creates vector representations of images or text | A node.js version of the Python sample. See the [sample readme](/demo-javascript/readme.md) for instructions on sample setup. |                                                                                                                       |
-| [Postman collection](postman-collection/Vector%20Search%20QuickStart.postman_collection%20v0.2.json)| Create, load, and query a search index that contains text and vector fields. | A collection of REST API calls to an Azure Cognitive Search instance. The requests in this collection include an index schema, sample documents, and sample queries. The collection is documented in [Quickstart: Vector search](/docs/vector-search-quickstart.md). Each query demonstrates key scenarios. <p>Use the [Postman app](https://www.postman.com/downloads/) and import the collection.</p> <p>Set collection variables to provide your search service URI and admin key</p> If you're unfamiliar with Postman, see this [Postman/REST quickstart for Cognitive Search](https://learn.microsoft.com/azure/search/search-get-started-rest). |
+| [Postman collection](postman-collection/Vector%20Search%20QuickStart.postman_collection%20v1.0.json)| Create, load, and query a search index that contains text and vector fields. | A collection of REST API calls to an Azure Cognitive Search instance. The requests in this collection include an index schema, sample documents, and sample queries. The collection is documented in [Quickstart: Vector search](/docs/vector-search-quickstart.md). Each query demonstrates key scenarios. <p>Use the [Postman app](https://www.postman.com/downloads/) and import the collection.</p> <p>Set collection variables to provide your search service URI and admin key</p> If you're unfamiliar with Postman, see this [Postman/REST quickstart for Cognitive Search](https://learn.microsoft.com/azure/search/search-get-started-rest). |
 
 ## 3 - Quickstart