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Author

Tejas Pawar

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Review Open access Oct 2026

A Survey on Retrieval-Augmented Generation for Multi-PDF Question Answering Systems

Retrieval-Augmented Generation (RAG) effectively separates knowledge retrieval from generation for private document question answering. This study explores the design space of document-grounded QA and details a multi-PDF RAG system. The pipeline uses PyMuPDF for text extraction with OCR fallback, BAAI/bge-small-en-v1.5...

P. S. Togrikar, Tejas Pawar, Akshay Malgunde et al. · 0 citations
Review Open access Jul 2026

Artificial Intelligence-Driven Personalization in Open Banking: A Systematic Literature Review and Future Research Agenda

No existing review jointly treats AI-driven personalization techniques, the Open Banking data-sharing/regulatory layer, and generative-AI-era personalization as a unified research problem is identified as the field's central open opportunity.

Tejas Pawar, B. Bandgar · 0 citations

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