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Introduction Your fraud detection agent flags a transaction as suspicious, but the customer already updated their shipping address ten minutes ago. Your support agent tells a customer that an item is in stock, but the last inventory sync ran at midni...

Introduction Your AI agent can write SQL. It can summarize text, reason about user intent, and call external APIs. But when a customer asks "Where is my order right now?", the agent hits a wall: the data it can access is hours old, trapped in a batch...

Introduction Search for "agentic data architecture" and you will find no shortage of material. Pyramid diagrams with three to five layers. Circles labeled "orchestration" pointing to other circles labeled "context." Frameworks with names like the Rea...

Background: Why Feature Stores Existed The feature store concept emerged from a specific problem in production machine learning. Data scientists compute features for model training in notebooks or Spark jobs. Production engineers re-implement those s...

The State Management Problem Most agent frameworks ship with a convenient default for state: a Python dict, a SQLite file, or an in-process object on the host machine. This works fine for a single agent running on a single machine during a demo. It s...
