This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

This repository contains Node.js examples to get started with the Amazon Bedrock service.

Automate process to change image background using Amazon Bedrock and AWS Step Functions

Seamless Integration with Amazon Bedrock for AI-Powered Text and Image Generation in Ruby.

RAG Application with LangChain, Terraform, AWS Opensearch and AWS Bedrock

pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundation models. It enables users to send messages, retrieve responses, manage conversation contexts, generate images, and estimate costs. Supporting both InvokeModel and Converse API, it streamlines AI integration in PowerShell workflows.

Repository dedicated to Term Project of UofT Intelligent Agents

Building Generative AI application RAG with Amazon Aurora and Amazon Bedrock Knowledge Base.

This project offers a sample multimodal front-end application built with Streamlit to showcase Amazon Bedrock.