The latest articles on DEV Community by Zhiheng Huang (@zhiheng_huang_55a68583013). https://dev.to/zhiheng_huang_55a68583013 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2376471%2F9809e04c-e7cd-49cc-8cb3-09614c97929a.jpg https://dev.to/zhiheng_huang_55a68583013 en Zhiheng Huang Thu, 07 Nov 2024 18:47:39 +0000 https://dev.to/zhiheng_huang_55a68583013/pdf-chat-with-source-highlights-3nj5 https://dev.to/zhiheng_huang_55a68583013/pdf-chat-with-source-highlights-3nj5 <p>Hey everyone! We just launched an open-source project called Denser Chat. This tool not only provides accurate answers from the chatbot but also highlights the specific passages used to generate each response, adding a layer of transparency to every interaction.</p> <p>GitHub Repo: <a href="https://github.com/denser-org/denser-chat" rel="noopener noreferrer">https://github.com/denser-org/denser-chat</a></p> <p>Key Features:</p> <ul> <li>Extract text and tables straight from PDFs</li> <li>Build customized chatbots easily with <a href="https://github.com/denser-org/denser-retriever" rel="noopener noreferrer">Denser Retriever</a> </li> <li>Chat in a Streamlit app with real-time source highlighting for every response</li> </ul> <p>We hope this can be a valuable addition to your AI development toolkit!</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1vgqqo50cpsvnr21w1ok.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1vgqqo50cpsvnr21w1ok.jpg" alt="Image description" width="800" height="617"></a></p> ai python rag nlp