Easy RAG with LangChain4J and Docker - Implementing Retrieval-Augmented Generation
Offered By: Devoxx via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configure a vector database and an LLM, and code a simple RAG application in Java using the "Easy RAG" project from LangChain4J. Utilize the Phi-3 model for efficient local experimentation on your laptop, and leave with ready-to-use infrastructure and code for your next AI project.
Syllabus
Easy RAG with LangChain4J and Docker by Julien Dubois
Taught by
Devoxx
Related Courses
Agents for Amazon Bedrock で始めよう!簡単 RAG 実装 (Japanese ONLY) (Na) 日本語実写版Amazon Web Services via AWS Skill Builder AWS Flash - Agents for Amazon Bedrock で始めよう!簡単 RAG 実装 (Japanese ONLY) (Na) 日本語実写版
Amazon Web Services via AWS Skill Builder AWS Flash - Agents for Amazon Bedrock で始めよう!簡単 RAG 実装 (Japanese) 日本語実写版
Amazon Web Services via AWS Skill Builder AWS Flash - Navigating the Large Language Models Landscape (Simplified Chinese)
Amazon Web Services via AWS Skill Builder AWS Flash - Navigating the Large Language Models Landscape (Simplified Chinese) (中文讲师定制版)
Amazon Web Services via AWS Skill Builder