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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- 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