intermediateETL Pipeline for RAG Ingestion

Why does a RAG ingestion pipeline need its own ETL process instead of just embedding raw files directly?

Raw documents (PDFs, HTML, Word docs) need to be parsed into clean text, split into appropriately-sized chunks, and have metadata attached (source, page number) before embedding — skipping this means embedding messy formatting artifacts or chunks with no traceability back to their source, which hurts both retrieval quality and the ability to cite where an answer came from.

This is a Pro chapter

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

Why does a RAG ingestion pipeline need its own ETL process instead of just embedding raw files directly?

Next Step

Continue to What happens if you re-run ingestion on updated source documents without a strategy for it?← Back to all Spring AI questions