5 Multi-Agent Pitfalls: Retrieval and Grounding Matter More Than the Model
godfather_corleone · reddit · 2026-08-01
Based on building customer support agents, the author argues that production failures are rarely caused by the model or prompts, but by messy retrieval and wiring. Relying on naive similarity search often pulls the wrong context, leading to highly convincing hallucinations.
To fix this, the author outlines 5 essential grounding checks:
- Coverage Rate: Is the retrieved context actually relevant?
- Evidence Alignment: Can every answer be traced back to supporting text?
- Freshness: Is it pulling the latest docs instead of archived ones?
- Noise Filtering: Can it ignore irrelevant chunks in huge documents?
- Escalation Thresholds: Does it know when to stop pretending and hand off to a human?
By enforcing a rule where the agent cannot answer if it lacks grounding, escalations dropped by 40% and CSAT increased by double digits. Most agents fail simply because they were never grounded properly.
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