Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Traditional chatbots often struggle with rigid responses and limited contextual understanding. Advancements in AI, particularly Retrieval-Augmented Generation (RAG), enhance chatbot capabilities by combining knowledge retrieval with natural language processing. This research explores next-generation AI-driven chatbots that improve accuracy, scalability, and user interaction efficiency.
"Real-Time Vehicle Query Resolution Using Retrieval-Augmented Generation and Large Language Models", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b291-b293, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503138.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator