Build an AWS Chatbot with Bedrock & Python. Step by Step guide!
In this video, we’ll walk through creating a Retrieval-Augmented Generation (RAG)-based chatbot from start to finish using Amazon AWS Bedrock! We’ll cover each step needed to build a powerful chatbot utilizing AWS Bedrock, S3, and Vector database, taking advantage of multiple services to create a robust and dynamic solution. Dives into setting up and deploying the chatbot within AWS, including step-by-step guidance to ensure everything is correctly configured. We will also show you how to access and interact with your chatbot from external sources, including Python and a website, providing a seamless user experience. Whether you’re new to AWS or looking to enhance your chatbot development skills, this series provides everything you need to build a fully functional RAG-based chatbot in AWS. Don’t forget to subscribe for more AI tutorials, and let’s get started! Code: https://github.com/rsarosh/aws-chatbot Streamlit Playlist: https://www.youtube.com/playlist?list=PLGAMbfs-I16fKHCNXAITFLeU2RKgNqFCo How to build chatbot in Azure: https://youtu.be/QE7nXvWxMew?si=GOXqFQ7moE1p118Q Email: rafat.sarosh @ gmail.com
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