In this article, we break down how retrieval and memory work in long-running AI agents and where each fits. We also look at how to combine them effectively so agents can access relevant information without carrying unnecessary context.
In this article, you will learn the conceptual and practical differences between retrieval and memory in agentic AI systems, and how to combine both effectively.
Topics we will cover include:
What separates retrieval from memory, and why the distinction matters for long-running agents.
How retrieval pipelines and memory systems are each built, illustrated with a concrete worked example.
How to combine retrieval and memory into a single, effective agent architecture.
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