amazon-bedrock

Artificial Intelligence Infrastructure-as-Code Generator.

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

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

A lightning-fast, cross-platform mobile AI Assistant App built with React Native.

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

A local-first inbox for long-running AI agents, built with DeepAgents and LangGraph.

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Sample Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.

Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).

LLM-powered document chat using Amazon Bedrock and AWS Serverless

A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.

Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

Live Meeting Assistant (LMA) - AI-powered live meeting transcription, translation, summarization, and assistant using Amazon Transcribe, Amazon Bedrock, and other AWS AI services

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Creating Amazon Bedrock agents with Streamlit Framework

Learn how to build Agentic Workflows on AWS

Learn how to quickly build Agents with Amazon Bedrock