Front-End Web & Mobile

Category: Amazon Machine Learning

Add Amazon Bedrock Chat Capabilities to a React Native App

Add Amazon Bedrock Chat Capabilities to a React Native App

This post will teach you to create a React Native chat application using Amazon Bedrock to build AI-powered chat features. The sample application includes the following: A mobile application using custom JSX components for the user interface. Seamless end-user chat interactions integrated with Amazon Bedrock foundational models. Backend development powered by AWS Amplify Gen2. Implementation […]

Extensibility functionality in AWS Amplify

New in AWS Amplify: Integrate with SQL databases, OIDC/SAML providers, and the AWS CDK

Welcome to “Extensibility Day” of AWS Amplify’s Launch Week! With Amplify Gen 2, we’re providing four new capabilities to customize your app according to your business need. Today, we’re announcing the ability to: Integrate with existing data sources (including PostgreSQL or MySQL databases) Authenticate with any OpenID Connect (OIDC) or SAML authentication provider Customize any […]

The evolution of full-stack development with AWS Amplify

To cater to the delivery of increasingly fast and personalised experiences, the way web applications are built and rendered has evolved significantly over the years. Along the way, the role of the developers who build them has also changed to reflect this evolution. In this post, you will learn about the progression of full-stack web […]

Create a Fullstack, Sample Web App powered by Amazon Bedrock

In this post we will walk you through creating a fullstack, sample web app that uses Amazon Bedrock to create generative AI-powered application features and user experiences. Your sample app will include: A React frontend web application, built with Amplify UI components, that supports both end user chat interactions with Amazon Bedrock foundational models, and […]

Build a Real-time, WebSockets API for Amazon Bedrock

Generative AI is transforming the way applications interface with data, which in turn is creating new challenges for application developers building with generative AI services like Amazon Bedrock. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Amazon Bedrock, a fully managed service, offers a choice of […]

Connect Amazon Bedrock to your data with AWS AppSync and GraphQL

This post describes how you can leverage AWS AppSync and GraphQL APIs to seamlessly connect your Amazon Bedrock FMs and Agents to both public APIs and to your private APIs and databases. Amazon Bedrock is a generative AI service, and is the easiest way to build and scale generative AI applications with foundation models (FMs). […]

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 […]

Amplify CLI announces new GraphQL transform feature for orchestrating multiple AI/ML use cases

The Amplify Framework is an open source project for building cloud-enabled mobile and web applications. The launch of the Predictions category in the Amplify Framework, a few months ago, enabled developers to easily add AI/ML use cases to their web applications. Use cases such as translate text from one language to another, generated speech from […]

Announcing the new Predictions category in Amplify Framework

The Amplify Framework is an open source project for building cloud-enabled mobile and web applications. Today, AWS announces a new category called “Predictions” in the Amplify Framework. Using this category, you can easily add and configure AI/ML uses cases for your web and mobile application using few lines of code. You can accomplish these use […]