Safer agent skills

Amazon Managed Workflows for Apache Airflow (MWAA) Examples repository contains example DAGs, requirements.txt, plugins, and CloudFormation templates focused on Amazon MWAA.

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Use LLMs for building real-world apps

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Code and walkthrough labs to create a customer service chatbot using Amazon Lex (and integrations with Amazon Connect, Twilio SMS, etc.)

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Quickly get started with AWS IoT Core for LoRaWAN with sample solutions (binary decoding, device and gateway monitoring, downlink, dashboarding, provisioning automation)

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GitHub repository aws-samples/sample-amazon-bedrock-agentcore-onboarding; metadata recovered from GitHub Search API.

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Personal private Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on for data analysis.

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Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)

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Labs for the "Build an agentic LLM assistant on AWS" workshop.

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An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.

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The ASP.NET Core ChatBot application featured here allows you to order flowers using Amazon Lex.

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Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS

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A full-stack serverless RAG workflow.

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

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Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

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Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

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GitHub repository aws-samples/multi-tenant-chatbot-using-rag-with-amazon-bedrock; metadata recovered from GitHub Search API.

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GitHub repository aws-samples/amazon-sagemaker-llm-fine-tuning-remote-decorator; metadata recovered from GitHub Search API.

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A simple workflow for developing AWS Step Functions to demonstrate how you can combine AWS Step Functions with AWS Lambda using .NET 8 and the Serverless Application Model (SAM), and expose your workflow via an API Gate…

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このソリューションは AWS 上で検索用途の Retrieval Augmented Generation (RAG) を構築するサンプルコードです。

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This is a short example showing how to utilize Amazon SageMaker's real time endpoints with OpenAI's open source Whisper model for audio transcription.

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Starter template for deploying AI agents with Amazon Bedrock AgentCore.

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Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

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A sample agentic ai platform to run agentic workflows on AWS using either EKS or Bedrock AgentCore with open source frameworks like LangChain/LangGraph, Strands, etc..

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