Udemy - Spring AI + RAG - Build Production-Grade AI with Your Data

Spring AI + RAG: Build Production-Grade AI with Your Data

https://WebToolTip.com

Published 1/2026
Created by Infiproton Tech, Harish B N
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 48 Lectures ( 3h 50m ) | Size: 3 GB

Spring AI RAG system design covering ingestion, chunking, retrieval, and prompt reliability.

What you'll learn
✓ Design end-to-end RAG systems using Spring AI, following backend system design principles rather than -style implementations.
✓ Build repeatable ingestion pipelines for PDFs, wiki documents, and database content with clear structure and metadata.
✓ Implement effective chunking and embedding pipelines that directly impact retrieval quality and correctness.
✓ Design metadata-aware retrieval pipelines and integrate them cleanly into backend chat flows.
✓ Control LLM behavior using explicit prompt orchestration, grounding rules, and source-aware answers.
✓ Manage the full knowledge lifecycle by safely adding, updating, and deleting data without corrupting retrieval results.

Requirements
● Basic experience with Java and Spring Boot (REST APIs, configuration, project structure).
● Comfortable working with databases and general backend application concepts.
● Familiarity with IDE-based development and running applications locally.
● No prior AI, RAG, or Spring AI experience required — all AI concepts are covered from scratch.