Free ebookRAGData PreprocessingQuality Gates
Data preprocessing for RAG pipelines
The preprocessing layer that decides RAG quality before retrieval ever runs. Cleaning, normalization, dedup, quality gates. Grounded in 14-rag-failures and complex-RAG-guide.
Inside the ebook
What you get
- Identify the preprocessing choices that drop precision by 10-20 points silently
- Clean and normalize text without destroying retrievable structure
- Dedup at ingest to avoid recall-killing near-duplicates
- Anonymize sensitive entities to cut hallucinations from biased pretraining
- Wire quality gates so bad data cannot reach the index
Inside
- Why preprocessing decides RAG quality
- Cleaning rules per document type
- Normalization without structure loss
- Dedup and near-duplicate detection
- Entity anonymization for factual grounding
- Ingest-time quality gates
- Ship checklist
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