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RAG Systems & Knowledge Bases

Chunking, embeddings, retrieval quality and grounded answers you can trust.

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Video · 17 min

Why retrieval beats fine-tuning

Key takeaway: Retrieval is updatable, auditable and cheap; fine-tuning bakes knowledge in and cannot cite sources.

The comparison

  • Freshness: change a document and retrieval is instantly current; fine-tuning needs retraining.
  • Auditability: retrieval can show the passage it used, so answers are checkable.
  • Access control: you can filter retrieval per user; weights cannot be filtered.
  • Cost: indexing documents is far cheaper than a training run.

When fine-tuning is still right

Fine-tune for consistent format, house style, or a narrow classification task where you have thousands of labelled examples. Even then, keep knowledge in retrieval.

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