CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference
Retrieval-Augmented Generation (RAG) improves factual grounding, but it also lengthens prompts and raises prefill cost. Prefix caching in serving engines such as vLLM reduces this cost only when requests share the same token prefix. In grounded generation, however, adjacent queries may retrieve overlapping evidence in different orders, so set overlap does not become reusable prefix overlap. We present CacheWeaver, a lightweight prompt-layer method for cache-aware evidence ordering. The method keeps a prefix tree over recently served evidence sequences and uses a greedy walk to place the most reusable prefix first, while leaving the serving engine and retrieved evidence set unchanged. Acro...
| Authors | Kaizhen Tan, Rong Gu, Mingyuan Li |
|---|---|
| Primary category | cs.CL |
| Published | 18 June 2026 |
| Last updated at source | 4 September 2026 |
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