Learn how to build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat. Explore the capabilities of Llama 2-70B-Chat and LlamaIndex to create powerful Q&A applications. Deploying and testing Llama 2-Chat using SageMaker JumpStart. Use LlamaIndex to build a RAG and integrate it with LangChain for powerful and versatile LLM applications.
Table of contents
Solution overviewPrerequisitesDeploy a GPT-J embedding model using SageMaker JumpStartDeploy with the SageMaker Python SDKDeploy with SageMaker JumpStart in SageMaker StudioDeploy and test Llama 2-Chat using SageMaker JumpStartUse LlamaIndex to build the RAGUse LangChain tools and agentsClean upConclusion5 Impressions