intermediate~2h

ETL Pipeline for RAG Ingestion

Module 09 assumed documents were already in the vector store. This module is how they get there — from a raw PDF or JSON file to searchable, chunked, metadata-enriched vectors.

Learning objectives

  • Beginner: Explain the three stages of a RAG ingestion ETL pipeline (extract, transform, load).
  • Intermediate: Configure a document reader and chunking transformer to prepare a raw PDF for embedding.
  • Advanced: Design a re-ingestion strategy for updated source documents that avoids duplicating stale chunks in the vector store.

This is a Pro chapter

Sign in, then upgrade to Pro or Power to unlock this and the full Spring Ecosystem Mastery library.

ETL Pipeline for RAG Ingestion

Next Step

Continue to Tool Calling & Function Calling← Back to all Spring AI chapters