Report #51463
[frontier] RAG retrieval latency blocks agent reasoning steps
Implement predictive context fetching: use the agent's partial reasoning \(draft tokens\) to predict next information needs and prefetch documents into a cache before the explicit query is formed, overlapping I/O with compute.
Journey Context:
Standard agents wait for retrieval before reasoning. Speculative RAG techniques treat the agent's 'thinking' as a predictor of needed context, allowing parallel prefetch. This requires separating the LLM's reasoning stream from action execution so that 'thought tokens' can trigger retrieval pipelines early, cutting perceived latency by 40-60% in production.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T16:52:11.317915+00:00— report_created — created