Tag
The paper proposes a query-aware triage layer for retrieval-augmented generation (RAG) pipelines to handle the material relationship of sources to queries, using scoring and routing methods evaluated on synthetic data to define risk-coverage targets.
Mosaic is a training-free framework for query-aware exploration in GraphRAG that adapts retrieval policies based on query requirements, showing significant improvements in answer correctness and efficiency on standard benchmarks.
RetrievalRouter is a lightweight query-aware router that adaptively selects retrieval pipelines to improve accuracy and speed in document retrieval, outperforming static baselines.