Added notebook for RAG tutorial

HeidiSteen · HeidiSteen · commit b8d808f288b9 · 2024-09-10T10:08:23.000-07:00
diff --git a/README.md b/README.md
@@ -9,6 +9,7 @@ This repository contains Python code samples used in Azure AI Search documentati
 | quickstart | "Day One" introduction to the fundamental tasks of working with a search index: create, load, and query. This sample is a notebook .ipynb file. The index is modeled on a subset of the Hotels dataset, widely used in Azure AI Search samples, but reduced here for readability and comprehension. |
 | quickstart-semantic-search | Extends the quickstart through modifications that invoke semantic search. This notebook adds a semantic configuration to the index and semantic query options that formulate the query and response. |
 | quickstart-rag | "Day One" introduction to LLM integration with a chat model such as GPT-3.5-turbo or equivalent. |
+| tutorial-rag | A deeper dive into LLM integration with a chat model such as GPT-3.5-turbo or equivalent. |
 
 ## Archived samples
 
diff --git a/Tutorial-RAG/Tutorial-rag-requirements.txt b/Tutorial-RAG/Tutorial-rag-requirements.txt
@@ -0,0 +1,6 @@
+python-dotenv
+azure-search-documents==11.5.1
+azure-storage-blob
+azure-identity
+openai
+aiohttp
diff --git a/Tutorial-RAG/Tutorial-rag.ipynb b/Tutorial-RAG/Tutorial-rag.ipynb
