International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI Driven Business Proposal using Lang chain Framework

Author(s) Piyush Mane, Aditya Nalawade, Khushal Jogi, Ajay Pandey, Amit Narote
Country India
Abstract This paper explores using the Lang Chain framework to automate business proposal generation with AI, focusing on prompt engineering, document retrieval, and language model orchestration. It highlights benefits like faster turnaround, improved accuracy, and cost-efficiency in creating tailored, high-quality proposals for businesses.
Keywords Lang Chain, AI, Business proposal generation, Prompt engineering, Document retrieval, Language model orchestration, Automation, Customization, Accuracy, Cost-efficiency, Data-driven decision-making, Turnaround time
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-03
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.37946
Short DOI https://doi.org/g86xc4
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