Building RAG apps with Langchain4J

Опубликовано: 01 Январь 1970
на канале: Microsoft Reactor

1,013

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! https://aka.ms/RAGHack2024)

#MicrosoftReactor #RAGHack

[eventID:23327]

Смотрите видео Building RAG apps with Langchain4J онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Microsoft Reactor 01 Январь 1970, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 1,01 раз и оно понравилось 3 людям.