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How to Chat with Any Website Using Streamlit & LangChain | Step-by-Step Tutorial Welcome back to *Just Code It**! In this comprehensive tutorial, you'll build an interactive chat app that allows you to ask questions and receive answers directly from any website's content using **Streamlit**, **LangChain**, and the powerful **Ollama* model. You'll learn how to: Configure your Streamlit app effectively Initialize and manage state variables seamlessly Design an intuitive sidebar to control your app’s configuration Extract and process website content using Beautiful Soup and LangChain loaders Implement both full-context processing and vector embeddings for enhanced query accuracy Set up a vector database to optimize queries and user experience Create a responsive and dynamic user interface to display chat messages Whether you're a beginner or experienced developer, this tutorial covers everything you need to build and deploy your own AI-powered web chat application. Stay tuned for the next video, where we'll enhance our application by building a robust web crawler with additional customization settings! 📍 Video Chapters: 00:00 01-Webchat_Langchain 00:05 Introduction to the Web Chat App 00:49 Setting Up the App Configuration 02:34 Creating the Sidebar 03:52 Processing the Website Content 04:26 Building the Query Processors 05:52 Setting Up the Vector Database 08:30 Creating the User Interface 10:28 Testing and Final Thoughts 🛠️ Resources & Links 🔗 Source Code: https://github.com/JustCodeIt7/Websit... 🔗 More Streamlit Tutorials: / @justcodeit77 🍻 Support My Work: https://buymeacoffee.com/bmours 💡 Tags #python #streamlit #chatbots #AI #LangChain #chatbot #webappdevelopment #interactiveapps #codingtutorial #webdevelopment #coding #langchain #ollama #CodingTutorial