rename rag data to vector search

Author: markjbrown

articles/cosmos-db/.openpublishing.redirection.cosmos-db.json

@@ -6169,6 +6169,11 @@
       "source_path_from_root": "/articles/cosmos-db/mongodb/overview.md",
       "redirect_url": "/azure/cosmos-db/mongodb/introduction",
       "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/cosmos-db/rag-data-openai.md",
+      "redirect_url": "/azure/cosmos-db/cosmos-db/vector-search",
+      "redirect_document_id": true
     }
   ]
 }

articles/cosmos-db/TOC.yml

@@ -13,8 +13,8 @@
       href: distributed-nosql.md
     - name: Distributed relational
       href: distributed-relational.md
-    - name: Integrate with Azure OpenAI
-      href: rag-data-openai.md
+    - name: Integrate Vector Search with Azure OpenAI
+      href: vector-search.md
 - name: NoSQL
   href: nosql/toc.yml
 - name: MongoDB

articles/cosmos-db/index.yml

@@ -30,9 +30,9 @@ highlightedContent:
     - title: Q&A
       itemType: reference
       url: /answers/tags/187/azure-cosmos-db
-    - title: Use Azure Cosmos DB with Azure OpenAI
+    - title: Vector Search with Azure Cosmos DB
       itemType: concept
-      url: rag-data-openai.md
+      url: vector-search.md
     - title: Choose an API in Azure Cosmos DB
       itemType: concept
       url: choose-api.md

articles/cosmos-db/introduction.md

@@ -20,7 +20,7 @@ Today's applications are required to be highly responsive and always online. To
 
 Azure Cosmos DB is a fully managed NoSQL and relational database for modern app development. Azure Cosmos DB offers single-digit millisecond response times, automatic and instant scalability, along with guaranteed speed at any scale. Business continuity is assured with [SLA-backed](https://azure.microsoft.com/support/legal/sla/cosmos-db) availability and enterprise-grade security.
 
-Use Retrieval Augmented Generation (RAG) to bring the most semantically relevant data to enrich your AI-powered applications built with Azure OpenAI models like GPT-3.5 and GPT-4. For more information, see [Retrieval Augmented Generation (RAG) with Azure Cosmos DB](rag-data-openai.md).
+Use Retrieval Augmented Generation (RAG) to bring the most semantically relevant data to enrich your AI-powered applications built with Azure OpenAI models like GPT-3.5 and GPT-4. For more information, see [Retrieval Augmented Generation (RAG) with Azure Cosmos DB](vector-search.md#Retrieval-Augmented-Generation-(RAG)).
 
 App development is faster and more productive thanks to:
 

articles/cosmos-db/media/rag-data-openai/vector-search-infosheet.png renamed to articles/cosmos-db/media/vector-search/vector-search-infosheet.png

@@ -390,7 +390,7 @@
             - name: Integrate with Azure services
               href: integrations-overview.md              
             - name: RAG with Azure OpenAI
-              href: ../rag-data-openai.md
+              href: ../vector-search#Retrieval-Augmented-Generation-(RAG).md
             - name: Vercel
               href: ../vercel-integration.md
         - name: Migrate data to Azure Cosmos DB

articles/cosmos-db/mongodb/TOC.yml

@@ -896,7 +896,7 @@
     - name: Integrate with other Azure services
       items:
         - name: RAG with Azure OpenAI
-          href: ../rag-data-openai.md
+          href: ../vector-search.md#Retrieval-Augmented-Generation-(RAG)
         - name: Change feed Ecommerce solution
           href: changefeed-ecommerce-solution.md
         - name: Azure App Service

articles/cosmos-db/nosql/TOC.yml

@@ -1,15 +1,15 @@
 ---
-title: Use data with Azure OpenAI
+title: Vector search using Azure Cosmos DB
 titleSuffix: Azure Cosmos DB
 description: Use Retrieval Augmented Generation (RAG) and vector search to ground your Azure OpenAI models with data stored in Azure Cosmos DB. 
 author: jacodel
 ms.author: sidandrews
 ms.service: cosmos-db
 ms.topic: conceptual
-ms.date: 08/16/2023
+ms.date: 09/20/2023
 ---
 
-# Use Azure Cosmos DB data with Azure OpenAI
+# Vector search with data in Azure Cosmos DB
 
 [!INCLUDE[NoSQL, MongoDB vCore, PostgreSQL](includes/appliesto-nosql-mongodbvcore-postgresql.md)]
 
@@ -88,7 +88,7 @@ Prior to sending a request to Azure OpenAI, the user input/query/request is also
 
 There are multiple ways to use RAG and vector search with your data stored in Azure Cosmos DB. 
 
-:::image type="content" source="media/rag-data-openai/vector-search-infosheet.png" alt-text="Infosheet that shows options for performing Vector Search with Azure Cosmos DB to bring your data to your AI applications." lightbox="media/rag-data-openai/vector-search-infosheet.png":::
+:::image type="content" source="media/vector-search/vector-search-infosheet.png" alt-text="Infosheet that shows options for performing Vector Search with Azure Cosmos DB to bring your data to your AI applications." lightbox="media/vector-search/vector-search-infosheet.png":::
 
 ## Azure Cosmos DB for NoSQL and Azure Cognitive Search