Grounded search
HoldTechniques
Search that anchors results in available data or context to improve relevance and reliability.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6InfoQ·8/15/2026researchDoorDash details shift from one-shot predictions to context-aware AI agents
Sudeep Das explains how DoorDash is evolving its recommendation system from legacy one-shot predictions to an agentic platform that can use consumer context over time. The approach combines language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to improve relevance and conversion.