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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Vector-Based Chat with Multi Pdf Using Langchain and AI
Authors
Amruta Bhosale,Saniya Shaikh,Shivani Sharma
Downlaod Center
Keywords
Langchain, Google Generative AI Embedding, FAISS Indexing, Streamlit, Python.
Abstract
The project presents the development of an in-
novative chatbot system that integrates with PDF documents,
enhancing users' ability to extract information through natural
language queries. The primary goal is to address the growing
demand for efficient information retrieval from textual docu-
ments, particularly in educational and professional contexts.
The proposed system aims to provide a user friendly system
for extracting relevant information from PDFs swiftly and
accurately. To achieve this, the system leverages several key
technologies. Streamlit is used for the user interface, providing
an intuitive and interactive platform for users to interact with
the chatbot. PyPDF2 is employed for PDF parsing, allowing
the system to extract text from uploaded PDF documents.
Langchain is utilized for text processing and embeddings,
enabling the system to process and index the extracted text ef-
ficiently. Google Generative AI is integrated for conversational
capabilities, enabling the chatbot to understand user queries
and provide relevant answers. Additionally, FAISS is used for
similarity search, allowing for fast and accurate retrieval of
information from indexed PDF content. The system's work ow
involves users uploading PDF documents, from which text is
extracted, processed, and indexed for efficient retrieval. The
chatbot, powered by Google Generative AI, interacts with users,
interprets their queries, and provides relevant answers based
on the indexed PDF content. The project's main objective is
to provide an interactive and easy to use user experience,
making it easy for users to access and utilize information from
PDF documents effectively. Future enhancements may include
support for more complex queries, integration with other
document formats, and improved user interaction features.
Overall, this project contributes to the advancement of natural
language processing and information retrieval systems, bene-
fiting users in various domains requiring efficient document
analysis and information extraction.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A5165
Paper ID - 256403
Author type - Indian Author
Page Number(s) - k448-k454
Pubished in - Volume 12 | Issue 5 | May 2024
DOI (Digital Object Identifier) -
No Of Downloads - 35
Author Country - India, 400706, Navi Mumbai , Navi Mumbai , 400706, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT24A5165
Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5165
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Amruta Bhosale,Saniya Shaikh,Shivani Sharma, "Vector-Based Chat with Multi Pdf Using Langchain and AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.k448-k454, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A5165.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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