Merge pull request #82 from HeidiSteen/main

Moved quickstart-rag-js/ts to azure-search-classic-rag repo

Author: HeidiSteen

README.md

@@ -7,5 +7,5 @@ This repository contains JavaScript code samples used in Azure AI Search documen
 | [azure-function-search](azure-function-search/readme.md) | This sample is an Azure Function that sends query requests to an Azure AI Search service. You can substitute this code to replace the contents of the `api` folder in the C# sample [azure-search-static-web-app](https://github.com/Azure-Samples/azure-search-static-web-app). |
 | [bulk-insert](bulk-insert/readme.md) | This sample shows you how to create and load an index using the push APIs and sample data. You can substitute this code to replace the contents of the `bulk-insert` folder in the C# sample [azure-search-static-web-app](https://github.com/Azure-Samples/azure-search-static-web-app) |
 | [quickstart](quickstart/README.md) | "Day One" introduction to the fundamental tasks of working with a search index: create, load, and query. This sample is a  Node.js console app. The index is modeled on a subset of the Hotels dataset, reduced for readability and comprehension. |
-| [quickstart-rag-js (JavaScript)](quickstart-rag-js/README.md) | Sends search results to a chat completion model, which provides an answer grounded in information from the index.  |
-| [quickstart-rag-ts (TypeScript)](quickstart-rag-ts/README.md) | Sends search results to a chat completion model, which provides an answer grounded in information from the index.  |
+| [quickstart-semantic-ranking-js](quickstart-semantic-ranking-js/README.md) | JavaScript code that demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. |
+| [quickstart-semantic-ranking-ts](quickstart-semantic-ranking-ts/README.md) | TypeScript code that demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. |