AI על מאגר הנתונים: הקשר מגיע בצורות, לא בשאילתות

תקציר מקורי באנגליתYour agent can reach your data and still get it wrong. Vector search hands it a slice, Text2SQL hands it another, and neither tells it what is actually relevant or how the pieces connect, so the answer comes back confident and wrong. Zach Blumenfeld's argument in this hands on workshop is that the missing piece is not a better model or a better query. It is context, and context comes in shapes. He builds three reusable graph shapes on top of lakehouse data with Neo4j, each answering a question the agent cannot ask a table. Trees give a table of contents, so the agent can navigate what is even there. Communities surface themes, the patterns nobody named. Paths and cycles trace connections, how entities, documents, and records actually relate. The shapes are portable to BigQuery, Databricks,