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Building RAG apps with Langchain4J

Microsoft Reactor
106K subscribers
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1.5K views Streamed 6 months ago #MicrosoftReactor #RAGHack
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] ...more
...more
Building RAG apps with Langchain4J
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]

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Microsoft Reactor

106K subscribers
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