filmov
tv
Retrieval-augmented generation (RAG) with Spring Boot, React, and LangChain4j
Показать описание
Details
Have you ever wanted to build an intelligent chatbot that understands your specific business context?
This presentation takes a practical engineering approach to AI. You'll learn how to interact with large language models (LLMs) from code and how you can extend their capabilities by giving them access to your own content and selected Java methods.
This talk will feature hands-on coding, where you'll learn to implement a custom AI chatbot with Spring Boot, React, LangChain4j, and Hilla. Walk away with a solid understanding of how you can integrate AI into your own application.
Speaker: Marcus Hellberg
Marcus has spent the past 20 years combining modern web technologies and Java. He's always curious to learn new things and loves helping developers learn new things. He works as the VP of Developer Relations at Vaadin.
Have you ever wanted to build an intelligent chatbot that understands your specific business context?
This presentation takes a practical engineering approach to AI. You'll learn how to interact with large language models (LLMs) from code and how you can extend their capabilities by giving them access to your own content and selected Java methods.
This talk will feature hands-on coding, where you'll learn to implement a custom AI chatbot with Spring Boot, React, LangChain4j, and Hilla. Walk away with a solid understanding of how you can integrate AI into your own application.
Speaker: Marcus Hellberg
Marcus has spent the past 20 years combining modern web technologies and Java. He's always curious to learn new things and loves helping developers learn new things. He works as the VP of Developer Relations at Vaadin.
0:30:47
Getting started with (Retrieval Augmented Generation) RAG in Java & Spring AI
0:06:36
What is Retrieval-Augmented Generation (RAG)?
0:06:40
How to use Retrieval Augmented Generation (RAG)
0:12:22
What is Retrieval-Augmented Generation (RAG)?
2:24:33
Retrieval Augmented Generation - RAG with Spring AI
0:05:49
Back to Basics: Understanding Retrieval Augmented Generation (RAG)
0:36:26
Retrieval-Augmented Generation (RAG) with Spring AI, PGVector and Open AI
0:42:50
How to build a retrieval-augmented generation (RAG) AI system in Java (Spring Boot + LangChain4j)
0:02:53
Build a Large Language Model AI Chatbot using Retrieval Augmented Generation
0:27:49
Master Spring AI with Retrieval-Augmented Generation (RAG)
0:00:46
Implement RAG (Retrieval Augmented Generation) #ai #springboot
0:34:38
Learn RAG From Scratch – Spring AI Tutorial
2:06:10
RAG - Retrieval Augmented Generation avec Sprig AI - Part 1
0:35:40
Java + RAG: Create an AI-Powered Financial Advisor using Spring AI 💡
0:29:17
Retrieval Augmented Generation (RAG) using Java, LangChain4J and OpenAI
1:07:36
Retrieval-augmented generation (RAG) with Spring Boot, React, and LangChain4j
1:03:00
Spring AI + RAG
0:40:49
Java RAG Tutorial (with Local LLMs): AI for your PDFs
0:22:00
Spring AI RAG | Chat with your PDF Documents using Java and Spring Boot
0:00:57
Building a Semantic Search Service With Spring AI and MongoDB Atlas
1:02:30
RAG 101: Retrieval Augmented Generation
0:36:43
Introdução ao RAG - Retrieval Augmented Generation
0:59:33
Building RAG apps with Langchain4J
0:23:55
Spring Tips: Vector Databases with Spring AI
Комментарии