update

Author: TheovanKraay

articles/cosmos-db/gen-ai/quickstart-rag-chatbot.md

@@ -12,6 +12,8 @@ ms.author: thvankra
 
 # Quickstart - Build a RAG chatbot with Azure Cosmos DB NoSQL API
 
+[!INCLUDE[NoSQL](includes/appliesto-nosql.md)]
+
 In this sample, we'll demonstrate how to build a RAG Pattern application using a subset of the Movie Lens dataset. This sample will leverage the Python SDK for Azure Cosmos DB for NoSQL to perform vector search for RAG, store and retrieve chat history, and store the vectors of the chat history to use as a semantic cache. Azure OpenAI to generate embeddings and LLM completions.
 
 At the end, we will create a simple UX using Gradio to allow users to type in questions and display responses generated by a GPT model or served from the cache. The responses will also display an elapsed time so you can see the impact caching has on performance versus generating a response.