AI Assistant with AWS Bedrock and Go
Develop an AI assistant by combining AWS Bedrock, Go, and React for a dynamic frontend.
This tutorial explores how to build an AI assistant by integrating AWS Bedrock, Go programming, and React for a dynamic frontend.
Make sure you have installed GoLand & WebStorm.
Additionally, we expect that the intended audience would have experience working with Go.
![Introduction](/guide/assets/thumbnail-64005b64.png)
Introduction
What exactly is Amazon Bedrock?
![Getting Started](/guide/assets/thumbnail-64005b64.png)
Getting Started
Preparing your environment.
![Enable Model Access](/guide/assets/thumbnail-64005b64.png)
Enable Model Access
Turning On Models in AWS Bedrock.
![Building the Backend](/guide/assets/thumbnail-64005b64.png)
Building the Backend
Configuring a New Project in GoLand.
![Interacting with ML Models — Llama3](/guide/assets/thumbnail-64005b64.png)
Interacting with ML Models — Llama3
Interacting with Llama3 in AWS Bedrock.
![Interacting with ML Models — Anthropic](/guide/assets/thumbnail-64005b64.png)
Interacting with ML Models — Anthropic
Interacting with Anthropic in AWS Bedrock.
![Building the Frontend - Project Setup and Configuration](/guide/assets/thumbnail-64005b64.png)
Building the Frontend - Project Setup and Configuration
Configuring a New React Project with Vite.
![Crafting a Frontend Application](/guide/assets/thumbnail-64005b64.png)
Crafting a Frontend Application
Component Configuration, UI Development, and WebSocket Integration.
![References](/guide/assets/thumbnail-64005b64.png)
References
Code Samples and Reference Materials