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Retrieval augmented generation (RAG) can be a useful tool to turn a generic chatbot into a specialized expert in any desired subject, even with data that must remain private. Java isn't the first language people think of when tackling AI related projects because of the lack of frameworks, and here's where Spring comes to the rescue, with a new AI dedicated library that leverages the power of vector stores such as Elasticsearch to provide an easy and intuitive experience for building AI applications. Expect just a bit of theory and decent chunk of practice through a live demo. Speaker: Laura Trotta, Software Engineer @Elastic Timestamps: 0:00 Introduction 1:29 Context: What is RAG & what can it do? 8:59 Tools: SpringAI & Elasticsearch 11:26 Demo: Building a complete RAG app This is a recording from an Elastic meetup. Make sure to join your local Elastic User Group to stay up-to-date on upcoming events: https://community.elastic.co/ Questions? Check out https://discuss.elastic.co/ Connect with the Elastic community through Slack: https://ela.st/slack #RAG #Java #SpringAI #Elasticsearch #TechTalk #Elastic