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@article{176465,
        author = {Davesh Singh Som and Mohammed Sharuf Ali and Ansh and Harsh Dagar and Ansh Kaushik},
        title = {Chat with Your PDF: A Conversational AI System for Document Understanding},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5394-5398},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176465},
        abstract = {The dramatic evolution of Artificial Intelligence (AI), especially that of Natural Language Processing (NLP) and large language models (LLMs), has ushered in revolutionizing capabil ities with which users have been able to interact with online content. Previously, PDF files have been unchanging and often tedious to move through, particularly when users have to find precise information hidden amidst large and sophisticated texts. Keyword searches or manual scanning using conventional methods are not only time-consuming but also ineffective in pro viding contextually relevant results. In order to overcome this limitation, the idea of” Chat with Your PDF” has been introduced as a revolutionary technique that facilitates interactive conversations with PDFs. These systems provide users with the ability to ask natural language questions and get accurate, context-specific answers based on the contents of the documents. This work investigates the underlying structure and principal technologies used in the cre ation of such systems, from text extraction, semantic text chunking, generation of embeddings, vector databases, similarity search, to the embedding of advanced LLMs in response generation. We survey the state of affairs in tools and platforms, e.g., LangChain, ChatPDF, OpenAI’s APIs, that enable the construction of these smart document interfaces. In addition, we discuss the practical uses of such systems in real-world domains such as legal services, education, cus tomer support, and technical documentation, wherein they have recorded significant gains in efficiency, user satisfaction, and accessibility. The provided methodology is modular and scalable in nature, and it can be adapted for use in different use cases and industries. This work also touches upon future areas, such as improve ments in multimodal understanding, multilingual support, offline deployments, and compatibil ity with enterprise knowledge bases. In the end,” Chat with Your PDF” is a major breakthrough in document interaction, providing an intelligent, intuitive, and user-friendly way of accessing and making sense of intricate information. Future innovation in this area promises to revolutionize the way we interact with digital documents in professional and academic settings.},
        keywords = {Taxonomic Broken Stick Model, Species Abundance, Ecological Distribution, Community Ecology, Biodiversity Patterns, Species Richness, Ecological Modeling, Abundance Distribution Models (ADMs), Neutral Theory of Biodiversity, Relative Species Abundance, Ecological Theories, Species-Area Relationship, Species Interactions, Community Structure, Species Diversity.},
        month = {April},
        }