Advance RAG with Azure & LlamaIndex

With new collaboration between Azure AI Search and LlamaIndex, enabling developers to build better applications with advanced retrieval-augmented generation (RAG) using a comprehensive RAG framework and state-of-the-art retrieval system.
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Code used in the video are under reference section in Discord Channel:
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[@Shoaibkhan-oj3oe]

I have a csv file with text data, the data set has 3 columns. One is the main title, then the sub title and third point related to the title. I want to set a QnA bot on it. Basically the bot should be able to handle any queries regarding the dataset whether it is a summary of the points mentioned in it or a complete retreival of all the points. The answers should always be detailed and also gpt should use its own knowledge to enhance on based of the retreived data. I tried RAG but rag just provides me information on the chunks retreived but not able to give summarisation or is not able to give all the points from the sub topic. What is the best way to implement such QnA on such dataset. It only has text data. Please any help would be appreciated. I am really stuck on this. I tried asking this in your discord channel as well

[@CaribouDataScience]

Hey, where can I get one of those jumpers?

[@MG_cafe]

I will gift you one :) Send me an email