Topic

#rag

Illustrated overview of RAG Pipelines for Data Engineers: You Already Know How to Build This

AI & GenAI🟡Intermediate

Aug 27, 20269 min read

RAG Pipelines for Data Engineers: You Already Know How to Build This

Retrieval-augmented generation is an ETL problem wearing an AI costume. How to build a production RAG ingestion pipeline with the skills you already have.

AI & GenAI🟡Intermediate

May 9, 202612 min read

Vector Search in the Warehouse: When You Do Not Need a Vector Database

Native vector search in Snowflake, BigQuery, and pgvector has quietly become good enough for most RAG workloads. Here are the thresholds, the real costs, and when a dedicated store still wins.

Illustrated overview of RAG Over Warehouse Data: Text-to-SQL, Curated Marts, and the Guardrails Between Them

AI & GenAI🟡Intermediate

Apr 12, 20268 min read

RAG Over Warehouse Data: Text-to-SQL, Curated Marts, and the Guardrails Between Them

Why raw text-to-SQL fails on real schemas, when retrieval over curated marts wins, and the semantic model and guardrails that make either safe.