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aws-bedrock
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Flexible and powerful framework for managing multiple AI agents and handling complex conversations
AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
Scala client for OpenAI API and other major LLM providers
A multimodal chat interface with many tools.
Automatic AI-powered test suite generator
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python
Go module for fetching embeddings from embeddings providers
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 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.
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.
rizzler: stop crying over Git merge conflicts and let AI handle the drama
Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
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.
This repository contains Node.js examples to get started with the Amazon Bedrock service.