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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47875
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the era of information overload, extracting meaningful insights from unstructured documents remains a significant challenge. This paper introduces a customized chatbot designed to extract and analyze textual data from various documents, utilizing Retrieval-Augmented Generation (RAG) techniques. By integrating frameworks like LlamaIndex and LangChain, and deploying a user-friendly interface via Streamlit, the system demonstrates enhanced capabilities in document comparison and data extraction. The chatbot’s architecture, implementation, and potential applications are discussed in detail, highlighting its efficacy in automating data analysis tasks.
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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