Agent Architecture

Retrieval and context systems designed for reliable multi-step agent behavior. The question here: does a retrieval index built for single-shot RAG queries also serve as a good context substrate for multi-step agent tool-calling, or do the two use cases pull the architecture in different directions?

Key findings

• Shared context stores reduced duplicate retrieval calls across agent steps working the same task.
• Retrieval indices tuned for agent tool-calling cost some precision for ad-hoc human search — a real tradeoff, not a free win.
• Context window pruning strategy matters more for multi-turn agent reliability than I expected going in.

Benchmark

Attachment