Papers by Davide Giannuzzi
Is Agentic RAG worth it? An experimental comparison of RAG approaches (2026.acl-industry)
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| Challenge: | Retrieval-Augmented Generation (RAG) systems have several limitations, including noisy or suboptimal retrieval, misuse of retrieval for out-of-scope queries, weak query–document matching, and variability or cost associated with the generator. |
| Approach: | They propose to use a "Enhanced" RAG to address weaknesses in the workflow . they propose to orchestrate the entire process, deciding which actions to perform, when to perform them, and whether to iterate . |
| Outcome: | The proposed models address shortcomings in the RAG workflow, and provide practical insights into the trade-offs between them. |