RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Langchain4J is a great way to use large language models from Java, and is modeled on the most popular Python orchestrator, Langchain. Learn how to use Langchain4J to build a RAG solution, connecting to different LLMs, embedding models, and vector stores. We'll share multiple open-source solutions so that you can get started with Langchain4J today.

Presented by Julien Dubois, Principal Manager of Java Developer Relations at Microsoft

** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **

📌 Check out the RAGHack 2024 series here!

Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.

• Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!