How to Prepare Enterprise Data for GenAI

Data profiling, document corpora validation, lineage, and quality SLAs — how to prepare enterprise data for GenAI and RAG at scale.

Profile before you retrieve

Automated profiling reveals completeness, freshness, and schema issues before they break RAG pipelines.

Chunking strategy, OCR quality, and metadata enrichment directly affect retrieval accuracy.

AI consumers need to know which tables and documents feed each RAG collection.

Agree on freshness, accuracy, and ownership before promoting data to production AI.

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