Explore Retrieval Augmented Generation (RAG) in Java and Spring AI through this 31-minute tutorial. Learn about RAG's purpose and implementation using a simple example. Discover how to leverage Spring AI for RAG applications. Follow along as the instructor demonstrates practical coding techniques and explains key concepts. Gain insights into when and how to apply RAG in your projects. Prepare for advanced topics covered in a subsequent video on integrating RAG with Vector Databases. Note that some syntax may have changed with Spring AI 1.0 updates - refer to the linked video for the latest information. Access additional resources including an introduction to Spring AI, a discussion on prompt engineering, and the GitHub repository containing code examples. Connect with the instructor through various social media platforms for further engagement and learning opportunities.
Getting Started with Retrieval Augmented Generation (RAG) in Java and Spring AI
Overview
Syllabus
Getting started with (Retrieval Augmented Generation) RAG in Java & Spring AI
Taught by
Dan Vega
Related Courses
-
RAG From Scratch - Implementing Retrieval-Augmented Generation with LangChain
-
Retrieval Augmented Generation (RAG) with LangChain
-
Fundamentals of AI Agents Using RAG and LangChain
-
Vector Space Models and Embeddings in RAGs
-
Evaluating RAG Solutions
-
Introduction to Retrieval Augmented Generation (RAG)
