For most production AI systems, the data layer sets the ceiling for answer quality. A model can improve awkward wording, but it cannot reliably fix stale documents, missing permissions, broken parsing, duplicate chunks, or content that should not have been indexed.

In this chapter, we will design the data architecture behind AI applications: ingestion, transformation, indexing, freshness, versioning, privacy, and quality monitoring.