GenAI applications on enterprise data with Amazon Kendra, LangChain and LLMs

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.

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References 📚

• 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