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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Document Based Question Answering System Using Python and LangChain |
| Authors Name: | P.Harish , R.Chaitanya , P.Pranay , R.Adhi Vamshi , Dr.K.Bala |
| Unique Id: | IJSDR2404092 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | In the realm of academic exploration, our project endeavours to redefine the way individuals engage with PDF documents through a document query answering system. Traditional keyword-based searches often lead to frustrating inefficiencies, hindering productivity for researchers, students, and professionals. Our solution introduces a conversational AI system that allows users to pose natural language queries, extracting precise responses directly from relevant document passages. Powered by the advanced LaMini-Flan-T5-248M language model and supported by sophisticated vector search mechanisms, our system facilitates rapid and accurate information retrieval. This transformative approach accelerates research processes, fostering a deeper understanding of complex topics beyond the constraints of conventional keyword searches. The impact of our project extends to four key areas. Firstly, it accelerates research and learning by eliminating the need for time-consuming manual exploration of PDF documents. Secondly, it promotes a deeper understanding by unveiling nuanced connections and insights within intricate subjects. Thirdly, it enhances productivity by redirecting focus from outdated search methods to analysis and creative thinking. Lastly, it fosters inclusive knowledge sharing by making research accessible to a broader audience and breaking down technical barriers. |
| Keywords: | Conversational AI, LaMini-Flan-T5-248M Language Model, Vector Search Mechanism. |
| Cite Article: | "Document Based Question Answering System Using Python and LangChain", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.661 - 666, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404092.pdf |
| Downloads: | 000338173 |
| Publication Details: | Published Paper ID: IJSDR2404092 Registration ID:210801 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 661 - 666 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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