Merge pull request #262030 from wmwxwa/patch-2

Update vector-database.md

Author: prmerger-automator[bot]

articles/cosmos-db/vector-database.md

@@ -71,6 +71,15 @@ The native vector search feature in our NoSQL API is under development. In the m
 - [.NET tutorial - recipe chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/C%23/CosmosDB-NoSQL_CognitiveSearch)
 - [.NET tutorial - recipe chatbot w/ Semantic Kernel](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/C%23/CosmosDB-NoSQL_CognitiveSearch_SemanticKernel)
 - [Python notebook tutorial - Azure product chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/Python/CosmosDB-NoSQL_CognitiveSearch)
+  
+## Next step
+
+[30-day Free Trial without Azure subscription](https://azure.microsoft.com/try/cosmosdb/)
+
+[90-day Free Trial with Azure AI Advantage](ai-advantage.md)
+
+> [!div class="nextstepaction"]
+> [Use the Azure Cosmos DB lifetime free tier](free-tier.md)
 
 ## Vector database related concepts
 
@@ -112,12 +121,3 @@ The process of creating good prompts for a scenario is called prompt engineering
 ### Tokens
 
 Tokens are small chunks of text generated by splitting the input text into smaller segments. These segments can either be words or groups of characters, varying in length from a single character to an entire word. For instance, the word hamburger would be divided into tokens such as ham, bur, and ger while a short and common word like pear would be considered a single token. LLMs like ChatGPT, GPT-3.5, or GPT-4 break words into tokens for processing.
-  
-## Next step
-
-[30-day Free Trial without Azure subscription](https://azure.microsoft.com/try/cosmosdb/)
-
-[90-day Free Trial with Azure AI Advantage](ai-advantage.md)
-
-> [!div class="nextstepaction"]
-> [Use the Azure Cosmos DB lifetime free tier](free-tier.md)