🤖 Build Your Own Chatbot That Reads PDFs! (Streamlit Tutorial) 🤖 Want to create a powerful chatbot that can answer questions from your PDF documents? In this Just Code It tutorial, we'll guide you step-by-step through building a Streamlit PDF chat application using Retrieval-Augmented Generation (RAG). Learn how to make your PDFs interactive and accessible! 🎓 What You'll Learn: * How to set up a Streamlit app for chatting with PDFs. * Process PDF uploads and create vector databases for efficient search. * Implement a chat interface for real-time interaction with your documents. * Understand Retrieval-Augmented Generation (RAG) and how it works. * Debug and optimize your Streamlit chatbot for better performance. This video provides a comprehensive, hands-on coding experience, perfect for developers looking to build intelligent document processing applications. Get ready to transform your PDFs into interactive knowledge sources! ⏱️ Timestamps: 0:00 Introduction to the Streamlit Chat App 0:22 Overview of the Template Structure 1:58 Configuring the App and State Variables 3:07 Setting Up the Model 3:42 Processing the PDF 6:38 Creating the Chat Interface 6:49 Handling the Sidebar and User Inputs 9:57 Final Touches and Debugging 14:51 Walkthrough and Testing the App 15:21 Conclusion and Next Steps 🔗 Resources: * 💻 Source Code: * ▶️ More Streamlit Tutorials: @justcodeit77 * ☕ Support the Channel: 👍 Enjoyed the video? Like, subscribe, and share to help others learn! Let me know in the comments what other Streamlit and chatbot projects you'd like to see! #streamlit #chatbot #pdf #python #rag #langchain #openai #ai #tutorial #coding #webdev #machinelearning