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@article{187018,
        author = {Amit and Varsha R and Chetan S. Yamakanamardi and Naveen M Kamagoud},
        title = {READ-EASY : Automating PDF Interaction using Langchain},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4066-4070},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187018},
        abstract = {A smart, user-friendly tool called READ-EASY was created to make working with YouTube videos and PDFs easier and more engaging. READ-EASY allows you to ask questions in plain English and receive accurate responses based on a true knowledge of the content, rather than just enabling you to browse through pages or search for specific keywords. To understand spoken and written text, the platform makes use of cutting-edge technologies including Natural Language Processing (NLP), Lang Chain, and Retrieval-Augmented Generation (RAG). It organizes and extracts text from PDFs while preserving the document's original structure. It employs semantic search strategies to understand the true meaning of your searches rather than depending just on keyword matching. This makes engaging with complex content much simpler by allowing the system to offer relevant, context-aware responses. However, READ-EASY is not limited to documents. Its capacity to manage YouTube videos is an excellent capacity. As with a document, just paste a video link, and the platform will transcribe the audio, divide the content into manageable chunks, and allow you to ask questions about it. Without watching the full video, you may quickly understand the main elements of any lecture, tutorial, or interview. All of this works in the background by transforming video and PDF content into "embeddings" numerical representations that assist the system in locating the most pertinent data using a vector database such as Pinecone. It selects the most relevant parts of your inquiry, feeds them into a large language model (LLM), and provides you with an understandable, knowledgeable answer. Everything is connected via Lang Chain, which ensures a seamless and effective procedure. To make sure it provides high-quality responses, READ-EASY goes through extensive testing using measures like accuracy and F1-score. Because it is set up on cloud platforms like AWS or Google Cloud, it can be accessed via a simple web interface at any time and from any location. READ-EASY helps you save time, acquire knowledge, and interact with content in a more intelligent and intuitive way, whether you're attempting to rapidly understand a video or digging into a complex study paper.},
        keywords = {Lang Chain, Vector database, Semantic Indexing, Context-Aware response, Question-Answering system.},
        month = {November},
        }