Videos » Build a Mindblowing Chat GPT WebApp with a Web Scraper Superagent and Custom Knowledge - AWS Bedrock

Build a Mindblowing Chat GPT WebApp with a Web Scraper Superagent and Custom Knowledge - AWS Bedrock

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πŸš€ Welcome to Devergo Labs Channel! πŸš€ πŸ”— GitHub Repository: https://github.com/samugit83/ai-superagent Dive into the source code! πŸš€ Use it as a companion while following the tutorial, chapter by chapter. πŸ’»βœ¨ This course is brought to you by the team at Devergo Labs. Learn more at www.devergolabs.com πŸš€ Welcome to our comprehensive tutorial on building an advanced web application with Generative AI integration! πŸ€–πŸ’» Whether you're a seasoned developer or just starting out, this guide will walk you through every step of the process. 00:00 Welcome to the AI Tutorial: Beyond the Hype 01:40 Diving Deep into AI Integration with AWS Services 03:45 Hands-On Demo: Showcasing the AI Super Agent in Action 04:30 Exploring Advanced AI Capabilities: From Chat Enhancements to Data Analytics 11:22 Building the Knowledge Base: A Step-by-Step Guide 15:55 Unleashing the AI Agent: Web Research and Knowledge Retrieval 23:44 Deep Dive into the Technical Architecture and Workflow 01:04:57 Setting Up Your AI Environment: From Bedrock to Open Search 01:06:54 Creating a Knowledge Base: Step-by-Step Guide 01:08:44 Testing the Knowledge Base with a Query 01:09:29 Synchronizing and Managing Data Sources 01:10:52 Setting Up an Agent: Configuration and Permissions 01:13:12 Advanced Agent Settings and Testing 01:25:59 Developing the Web Application: Starting with the Backend 01:27:16 Implementing WebSocket for Real-time Communication 01:53:09 Frontend Development: Building the Chat Interface 02:04:35 Integrating Redux for State Management 02:20:21 Diving Into Redux for State Management 02:21:20 Implementing Model Selection Logic 02:23:06 Building the UI: Model Selection Buttons 02:26:22 Enhancing UI Interactivity and Feedback 02:33:19 Rendering Chat Messages Dynamically 02:38:03 Integrating Input for User Interaction 02:42:58 Handling User Input and Streaming Data 02:55:26 Debugging and Refining the Streaming Process 03:00:06 Developing the Knowledge Base and Training Model 03:25:19 Finalizing the Upload and Training Process 03:25:31 Ingestion Job Creation and Execution 03:26:07 Client-Side Ingestion Job Handling 03:27:50 Monitoring Ingestion Job Status 03:31:50 Frontend Integration and File Upload Functionality 03:34:46 Implementing Notification Popups and Permissions 03:35:22 Lambda Function Configuration for Ingestion 03:36:12 Testing the Application and Uploading Data 03:52:01 Implementing Triple Functionality and Agent Integration 04:05:06 Final Steps and Testing the Agent Functionality 04:19:59 Conclusion and Next Steps By the end of this tutorial you will learn: πŸ€– How to create an AI super agent that scrapes the internet to answer your questions 🧠 Train your personal model with a knowledge base by simply uploading files πŸ“€ Implement a multipart upload with AWS S3 for efficient file handling πŸ“‘ Manage a stream and receive chat responses divided into chunks for better handling πŸ” Understand deeply how Amazon Bedrock works for robust infrastructure πŸš€ Access the most advanced FM in the market like Claude 3 Sonnet, LLama, Amazon Titan, Stable Diffusion, and others πŸ’¬ Create a smart chat with even better features than GPT-4 🌐 Create a complete web app with Next.js featuring a 3-mode chat with GPT ☁️ Integrate other AWS services like Lambda and OpenSearch for enhanced functionality ⏱️ Build real-time communication features using Socket.io for seamless interactions between users and AI agents πŸ•ΈοΈ Create web scraping capabilities using Python and Beautiful Soup, allowing your app to gather data from various online sources. #aiagents #ai #webapp #generativeai #artificialintelligence #trainaimodel #awsbedrock #StreamedChatResponses #AmazonBedrockInsights #AdvancedFMMarket #NextJSWebApp #RealTimeInteractions #WebScrapingPython #SocketIOCommunication πŸ› οΈ Prerequisites: Basic familiarity with React.js Css Node.js Python Microservice Rest Api πŸ”— Additional Learning Materials and Services - www.devergolabs.com Subscribe to my channel: / @uchp1pberio1fivpephq6gpw πŸ’Ό Business Inquiries: E-mail: devergo.sam@gmail.com Whatsapp: +39 3713735771 Telegram: @samsamtx 🌟At Devergo Labs, we passionately strive to democratize the coding world. Our vision is simple yet profound: make coding accessible to everyone, regardless of experience level. πŸ‘‹ I'm Samuele Giampieri, founder of Devergo Labs, with over 7 years of fullstack development expertise. At DEVERGO Labs, we provide web development services, cloud solutions, and AI integrations. πŸ‘ Don't forget to hit the "Like" button and subscribe for more exciting tutorials on web development, React, and Next.js! Share this video with friends and colleagues to help them level up their skills too.
Posted Apr 21
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