Build a Mindblowing Chat GPT WebApp with a Web Scraper Superagent and Custom Knowledge - AWS Bedrock
π Welcome to Devergo Labs Channel! π
π GitHub Repository:
https://github.com/samugit83/ai-superagent
Dive into the source code! π Use it as a companion while following the tutorial, chapter by chapter. π»β¨
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π Welcome to our comprehensive tutorial on building an advanced web application with Generative AI integration! π€π» 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:
π€ How to create an AI super agent that scrapes the internet to answer your questions
π§ Train your personal model with a knowledge base by simply uploading files
π€ Implement a multipart upload with AWS S3 for efficient file handling
π‘ Manage a stream and receive chat responses divided into chunks for better handling
π Understand deeply how Amazon Bedrock works for robust infrastructure
π Access the most advanced FM in the market like Claude 3 Sonnet, LLama, Amazon Titan, Stable Diffusion, and others
π¬ Create a smart chat with even better features than GPT-4
π Create a complete web app with Next.js featuring a 3-mode chat with GPT
βοΈ Integrate other AWS services like Lambda and OpenSearch for enhanced functionality
β±οΈ Build real-time communication features using Socket.io for seamless interactions between users and AI agents
πΈοΈ 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
π οΈ Prerequisites:
Basic familiarity with React.js Css Node.js Python Microservice Rest Api
π Additional Learning Materials and Services - www.devergolabs.com
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πΌ Business Inquiries:
E-mail: devergo.sam@gmail.com
Whatsapp: +39 3713735771
Telegram: @samsamtx
πAt 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.
π 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.
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Posted Apr 21
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