Our goal is to provide you with tools to start experimenting the RAG (retrieval-augmented generation) pattern right away, so you leave this talk with infrastructure and code ready to use for your next AI project.
Using the "Easy RAG" project from LangChain4J, we will:
- explain the ideas and concepts behind the RAG pattern
- configure a vector database and an LLM to create a realistic RAG infrastructure inside Docker
- code a simple RAG application in Java
Everything will run locally, and we'll use Phi-3 to have a small and efficient model, so you can experiment with the RAG pattern on your laptop.
Using the "Easy RAG" project from LangChain4J, we will:
- explain the ideas and concepts behind the RAG pattern
- configure a vector database and an LLM to create a realistic RAG infrastructure inside Docker
- code a simple RAG application in Java
Everything will run locally, and we'll use Phi-3 to have a small and efficient model, so you can experiment with the RAG pattern on your laptop.
AI-generated (Experimental): may contain inaccuracies, please verify facts.
Julien Dubois
Microsoft
Julien Dubois manages the Java Developer Relations team at Microsoft.
He is known as the creator and lead developer of the JHipster project, and as a Java Champion. In the past 25 years, Julien mainly worked with the Java and Spring technologies, leading technical teams for many different customers across all industries. As he loves sharing his passion, Julien wrote a book on the Spring Framework, spoke at more than 200 international conferences, and created several popular Open Source projects.
He is known as the creator and lead developer of the JHipster project, and as a Java Champion. In the past 25 years, Julien mainly worked with the Java and Spring technologies, leading technical teams for many different customers across all industries. As he loves sharing his passion, Julien wrote a book on the Spring Framework, spoke at more than 200 international conferences, and created several popular Open Source projects.