The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Multimodal Retrieval-Augmented Generation in Knowledge Systems: A Framework for Enhanced Semantic Search and Response Accuracy
Open accessAbstract
Maintaining structured and up-to-date documentation remains a critical challenge in knowledge management, especially as organizational data becomes increasingly unstructured and multimodal.This paper presents a framework for a Multimodal Retrieval-Augmented Generation (RAG) Knowledge Database Assistant, designed to enhance semantic search and improve the accuracy of generated responses.By combining retrieval-augmented generation techniques with support for diverse data modalities (e.g., text, images, and structured metadata), the proposed system mitigates hallucination risks and increases the reliability of information access.The framework enables precise, contextaware question answering, even when underlying knowledge repositories are incomplete or inconsistently maintained.Our approach demonstrates how multimodal integration and RAG pipelines can form a robust foundation for next-generation knowledge systems.
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Siriwardhana, S., Weerasekera, R., Wen, E., Kaluarachchi, T., Rana, R., & Nanayakkara, S. (2023) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00530 · Cited by 337
Impact of word embedding models on text analytics in deep learning environment: a review
Asudani, D. S., Nagwani, N. K., & Singh, P. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10419-1 · Cited by 274
A fine-tuning enhanced RAG system with quantized influence measure as AI judge
Rangan, K., & Yin, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-79110-x · Cited by 52
Knowledge Management Infrastructure Framework for Enhancing Knowledge-Intensive Business Processes
Aviv, I., Hadar, I., & Levy, M. (2021) · Sustainability · doi:10.3390/su132011387 · Cited by 49
Intrusion detection: A model based on the improved vision transformer
Yang, Y., Fu, H., Gao, S., Zhou, Y., & Shi, W. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4522 · Cited by 43
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Towards Retrieval-Augmented Architectures for Image Captioning
Sarto, S., Cornia, M., Baraldi, L., Nicolosi, A., & Cucchiara, R. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3663667 · Cited by 21
Multimodal archive resources organization based on deep learning: a prospective framework
Zhou, Y., Zhang, Z., Wang, X., Sheng, Q., & Zhao, R. (2024) · Aslib Journal of Information Management · doi:10.1108/ajim-07-2023-0239 · Cited by 17
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Caching Historical Embeddings in Conversational Search
Frieder, O., Mele, I., Muntean, C. I., Nardini, F. M., Perego, R., & Tonellotto, N. (2022) · ACM Transactions on the Web · doi:10.1145/3578519 · Cited by 13
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Research works printed but not linked: 1
- C. Yao and S. Fujita, "Adaptive Control of Retrieval- Augmented Generation for Large Language Models Through Reflective Tags," Electronics (Basel), vol. 13, no. 23, p. 4643, Nov. 2024, doi: 10.3390/elec- tronics13234643. · DOI
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Shanivendra, A. C. (2026) · arXiv · doi:10.48550/arxiv.2603.14170
Retrieval-Augmented Generation
Yu, J. S., & Yao, Y. (2026) · Springer eBooks · doi:10.1007/978-981-95-4632-9_4
Metadata
- Authors
- Mihajlović, M.
- Affiliations
- Singidunum University (RS)
- Corresponding author
- Mihajlović, Marko
- Venue
- Proceedings of the International Scientific Conference - Sinteza 2025
- Publisher
- Singidunum University
- Published
- 2025
- Pages
- 544-549
- OpenAlex
- W4411257631
- Cited by
- 1
- References
- 11
- Citations by year
- 2026: 1
- FWCI
- 0.95
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Scientific Conference Sinteza (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- multimodal retrieval-augmented generation, knowledge management, knowledge base, semantic search, hallucination mitigation, question answering, image retrieval, structured metadata, response accuracy
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