amazon-titan

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

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

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

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

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.

Repository dedicated to Term Project of UofT Intelligent Agents

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