GuidedRAG: Semantic Steering of Retrieval-Augmented Generation
In this work, we propose GuidedRAG, a novel extension to traditional Retrieval-Augmented Generation (RAG) that introduces a dedicated selection stage and semantic steering during retrieval. In contrast to current state-of-the-art RAG approaches, which depend on increasingly complex retrieval and knowledge structures, GuidedRAG constrains the knowledge base using semantics before retrieval, aligning the retrieval space with user intent while substantially reducing the search space. Our evaluation shows that GuidedRAG improves retrieval relevance by 14.0-15.8%, mitigates a 19.7-27.4% loss in retrieval precision, and reduces retrieval overhead by orders of magnitude. Moreover, relevant chunk...
| Authors | Matthijs Jansen op de Haar, Tobias Stähle, Lorenzo Gatti |
|---|---|
| Primary category | cs.IR |
| Published | 10 July 2026 |
| Last updated at source | 10 July 2026 |
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