Front-End Web & Mobile
Tag: AI/ML
Building RAG-based applications with AWS Amplify AI Kit and Neon Postgres
Modern application development has shifted to include not just tooling that offers a great developer experience (DX), but a sensible balance between simply getting started and the path to production. It is this very sentiment that inspired the release of Amplify AI kit. This abstraction over common AI tasks like conversing with a large language […]
Build a Travel Planner with React Native, AWS Amplify, and Amazon Bedrock Knowledge Base
With the announcement of the Amplify AI kit, we learned how to build custom UI components, conversation history and add external data to the conversation flow. In this blog post, we will learn how to build a travel planner application using React Native. The application will generate responses using Retrieval Augmented Generation (RAG) and Large […]
Create a Customized AI-Based Chat Interface With Your Application Data
Frontend developers face significant hurdles when creating persistent conversational AI chat experiences for their apps. They often how to deal with complex APIs, complicated real-time UI updates, and hard to configure permissions. Not to mention having to setup intricate cloud infrastructure. That’s why we are excited to show you AWS Amplify AI kit and it’s […]
Case Study: Knowt builds online education app on AWS to help students and teachers
Fast-growing educational technology startup Knowt developed an app in to change the way students and teachers study and create assessments. Using a powerful algorithm and artificial intelligence, the app quickly and automatically converts notes from students and teachers into quizzes and flash cards. However, the startup eventually noticed an area in need of improvement. It […]
Introducing the AWS Amplify Libraries for iOS and Android (Preview)
Amplify iOS and Amplify Android are now generally available (GA). Read the GA post to get started with the new libraries. Until today, building iOS and Android apps powered by AWS involved using the AWS service-centric handwritten or low level generated SDKs. To set up the backend, you would go to the AWS service console […]