Kumar, Seemakurthi Rohith and M M, Gowthul Alam and Anil Kumar, Paruchuri and Anil Kumar, Paruchuri and Nikhil Yadav, Pothineni (2025) Medical Chatbot using LLM, Faiss & LangChain. International Journal of Innovative Science and Research Technology, 10 (5): 25may629. pp. 811-817. ISSN 2456-2165

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Abstract

By providing automated symptom analysis, prescription suggestions, and patient support, AI-powered medical chatbots are revolutionizing digital healthcare. This work introduces a sophisticated chatbot that combines FAISS for quick and precise medical knowledge retrieval, Large Language Models (LLMs) for natural, human-like discussions, and Langchain for enhanced contextual comprehension and reasoning. The chatbot ensures data protection and regulatory compliance while providing real-time responses and personalized support. It is effective and scalable, supporting a variety of healthcare jobs, improving patient involvement, and optimizing clinical operations. Utilizing cutting-edge AI technology, the system lessens the workload for medical personnel, promotes prompt decision- making, and increases accessibility to medical information and consultations. In addition to providing patients with immediate, dependable assistance, this breakthrough opens the door for more intelligent, networked digital healthcare services. All things considered, the combination of LLMs, FAISS, and Lang Chain marks a significant advancement in the creation of intelligent, safe, and easily available AI healthcare solutions.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Editor IJISRT Publication
Date Deposited: 23 May 2025 12:07
Last Modified: 23 May 2025 12:07
URI: https://eprint.ijisrt.org/id/eprint/1018

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