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

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

AI-powered code review tool that analyzes git branch differences and generates comprehensive review reports. Supports AWS Bedrock and Anthropic API. Features automated analysis of logic, security, performance, and code quality with smart token efficiency through prompt caching.

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

Terraform-Based Bedrock RAG Deployment

A simple package that simplify working with Bedrock model id

RAG-based application for Q&A with data from your Confluence Wiki using LangChain, ChromaDB, AWS Bedrock or Ollama.

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

A Bedrock agent built with Python and AWS CDK