Project Every Record Counts: Data Engineering for Backend Engineers
Part 32: "Feeding the Models" — Data Engineering for ML and AI
Support wants an assistant that answers from tickets and data science wants recommendation features; Rohan plans a nightly re-embed and a join to the customer table. Ingrid makes the index follow the source through CDC and every feature carry the time it became known: point-in-time correctness, feature stores, chunking and embeddings, pgvector and the lakehouse, retrieval evaluation and dataset versions.