In this tutorial, we will demonstrate how to implement Retrieval Augmented Generation (RAG) workflows for generative AI (GenAI) applications with Amazon Kendra, 🦜️🔗 LangChain and state-of-the-art Large Language Models (LLM) to provide a conversational experience backed by data.

Visit Generative AI on AWS for the latest news on GenAI and learn how AWS is helping reinvent customer experiences and applications.

• AWS ML Blog: Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models
• AWS ML Blog: Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart
• AWS ML Blog: Dive deep into Amazon SageMaker Studio Notebooks architecture