Retrieval-Augmented Generative Conversational AI for Intelligent Search and Messaging Applications

Authors

  • Raghu Chukkala

Keywords:

Retrieval Augmented Generation, Conversational AI, Semantic Retrieval, Vector Databases, Messaging Applications, Factual Grounding Hallucination Reduction

Abstract

Retrieval-Augmented Generation (RAG) has become a revolutionary paradigm ofcreating trustworthy and knowledge-based conversational AI systems. The design,implementation and evaluation of a Retrieval-Augmented Generative Conversational AI architecture of intelligent search and messaging

References

P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.t. Yih, T. Rocktäschel, et al., "Retrieval-augmented generation for knowledgeintensive NLP tasks," Adv. Neural Inf. Process. Syst., vol. 33, pp. 9459–9474, 2020.

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Published

2026-01-05

How to Cite

Raghu Chukkala. (2026). Retrieval-Augmented Generative Conversational AI for Intelligent Search and Messaging Applications. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 17–37. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4606

Issue

Vol. 35 No. 1 (2026): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.