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

Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.

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.

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

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

Terraform-Based Bedrock RAG Deployment

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

A Demo of Retrieval Augmented Generation with Amazon Titan, Bedrock, Kendra, and LangChain

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

A web app leveraging LLMs and trusted sources to fact-check questions on climate change

This repository contains Python scripts to interact with AWS Bedrock using Amazon Titan models for text generation and image generation. The implementation uses the boto3 SDK to invoke AI models via the AWS Bedrock API.

AWS Bedrock-powered email intelligence system with RAG-enhanced classification and summarization, built for the Columbia Engineering X Amazon Bedrock Innovation Challenge

Repository dedicated to Term Project of UofT Intelligent Agents

🚀 Unleash AI-powered document Q&A with this slick system! Built with AWS Bedrock's Titan & LLaMA 3, LangChain, and a Streamlit UI, it transforms PDFs into insightful answers. Dockerized for easy local runs or scalable AWS App Runner deployment. Dive into smart document exploration!