Flexible and powerful framework for managing multiple AI agents and handling complex conversations

A multimodal chat interface with many tools.

Automatic AI-powered test suite generator

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.

AWS Certified AI Practitioner (AIF-C01) exam preparation

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.

A comprehensive healthcare management system that provides a REST API for accessing ICU patient data and medical appointments. The system leverages AWS Bedrock for AI-powered clinical assistance and real-time alert generation for critical patient conditions.

🏆 AWS AI Agent Hackathon Entry: Multi-agent HDB advisor using Amazon Bedrock AgentCore, Nova Lite, and intelligent cost optimization. Find your perfect Singapore home with AI.

Conversational AI assistant powered by Amazon Bedrock

AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence

Integrates AWS Bedrock's multimodal capabilities (Claude 3) into the Docling framework for generating image descriptions within document processing pipelines.

MCP server for iterative refinement through self-critique cycles. Based on Hank Besser's recursive-companion, adds incremental processing to avoid timeouts.

Terraform-Based Bedrock RAG Deployment

The Traffic Violation Detection System uses AI and cloud services to automatically detect traffic violations from vehicle images. It identifies number plates, logs violations in a database, and sends notifications to vehicle owners efficiently.

A Bedrock agent built with Python and AWS CDK

This sample project demonstrates an AI-powered solution that transforms simple product photos into rich, detailed product listings using Amazon Bedrock's foundation models. The system automatically generates product descriptions, creates virtual try-on images, and provides comprehensive product attribution.

Tutorial of aws-bedrock to use foundational models for specific usage