Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction

Ryan George, Akshay Govind Srinivasan, Jayden Koshy Joe, Harshith M R, Vijayavallabh J, Hrushikesh Kant, Rahul Vimalkanth, Sachin S, Sudharshan Suresh


Anthology ID:
2025.finnlp-2.3
Volume:
Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura
Venue:
FinNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
19–32
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URL:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.3/
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Cite (ACL):
Ryan George, Akshay Govind Srinivasan, Jayden Koshy Joe, Harshith M R, Vijayavallabh J, Hrushikesh Kant, Rahul Vimalkanth, Sachin S, and Sudharshan Suresh. 2025. Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 19–32, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction (George et al., FinNLP 2025)
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https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.3.pdf