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Data Science
Towards Data Science·14d ago·5 min read
Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations
TL;DR
RAG (Retrieval-Augmented Generation) models often produce inaccurate outputs due to context misalignment. By implementing four key bricks of context engineering, these models can significantly reduce hallucinations.
✦ Why It Matters
Engineers should implement context validation techniques today to enhance the accuracy of their RAG models.
Key Takeaways
- Optimize document parsing to maintain data structure.
- Normalize queries to match document vocabulary for better retrieval.
- Route retrieval based on document structure, not just frequency.
- Implement typed generation contracts to clarify answer completeness.
How It Works
Context engineering involves refining four key components: document parsing, which retains data structure; question parsing, which normalizes queries to match document terminology; retrieval, which routes based on document structure; and generation, which uses typed contracts to ensure answers are complete and accurate.