AI-Driven RAG Chatbot: Combining Information Retrieval with Generative AI

• DOI: 10.36548/jismac.2024.4.005
• Publication Date: 2025-02-06T10:14:40Z
• Authors: Venkatesh S; Dhanya K R; Kaniska P
• Keywords: Chatbot

Generative AI technologies are emerging nowadays and they transform the way of user interaction with information, allows systems to deliver accurate responses queries. This research focuses on creating a Retrieval Augmented Generation Chatbot as an e-learning assistant where it fetches data from pdf document that is trained give precise query. created specifically for subject “Artificial Intelligence” user-queries related Artificial Intelligence. The system uses Flask backend React frontend. PDFs loaded, split into smaller sections, processed using LangChain. Embeddings generated Google’s models stored in Chroma, vector database. When submits query, searches similar content Google Gemini-1.5-Pro generate response based retrieved data. ensures high accuracy by relying specific rather than broad knowledge. solution can easily scale perfect education knowledge-based fields. It helps students, teachers, professionals providing fast, reliable answers, making learning more efficient effective.