Foundations of Retrieval Augmented Generation Systems with Java

Overview

What you'll learn

• Explain how retrieval-augmented generation reduces hallucinations and improves contextual accuracy
• Compare Bag-of-Words and embedding-based text representations
• Apply embeddings to semantic search and document retrieval
• Store, filter, and retrieve document embeddings with ChromaDB
• Manage document updates and batch ingestion for larger datasets
• Combine BM25 and vector search to improve retrieval quality
• Build an end-to-end RAG pipeline in Java using grounded, multi-chunk context

Advantages and disadvantages

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Before you start

Beginner: RAG Systems and Vector Databases (ChromaDB, Java) Intermediate Java Programming