In the era of digital transformation, understanding customer interactions is paramount to business success. This session will focus on the power of capturing and leveraging chat history between users and Large Language Models (LLMs) for your Retrieval-Augmented Generation pattern applications.

The chat history of a RAG pattern application provides an invaluable source of customer insights, capturing every interaction a business has with its customers. This data can be used to improve the quality and speed of responses generated by an LLM, reduce costs, and even uncover new insights though analytical methods such as sentiment analysis, trend prediction, and strategic business planning.

We will guide you on how to leverage data from RAG Pattern applications using Azure Fabric and Azure Cosmos DB to extract these customer insights. We will then delve into how to analyze this data using Azure ML to gain deeper insights into your products and services.

The session will also demonstrate how to apply these insights back to the performance and quality of the responses generated by an LLM. This will enable you to build a complete 360-degree view of your interactions with your customers at any scale.

Join us in this session to unlock the potential of your customer interactions and transform your business with the power of Microsoft Fabric.