Course Summary:
This course teaches Java and Spring Boot developers how to design, build, and maintain Retrieval-Augmented Generation (RAG) systems at production level.
Using Spring AI, PostgreSQL, and Redis, you will learn how to create robust pipelines for ingestion, chunking, embeddings, and retrieval, while orchestrating LLM behavior with reliable prompts.
I share my backend engineering experience to help students solve common challenges: data inconsistency, inefficient retrieval, and unreliable prompts. By the end, you will be able to build a fully functional and maintainable internal knowledge assistant, with scalable, production-ready code.