aws-solutions-library-samples
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- Enterprise-grade, production-hardened, serverless data lake on AWS
- The Open Source 3D Reconstruction Toolbox for Gaussian Splats provides an end-to-end, pipeline-based guidance on AWS to reconstruct 3D scenes or objects from images or video inputs.
- This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.
- Scalable analytics using Apache Druid on AWS is a solution offered by AWS that enables customers to quickly and efficiently deploy, operate and manage a cost-effective, highly available, resilient, and fault tolerant hosting environment for Apache Druid analytics databases on AWS.
- This Guidance demonstrates how to deploy Cloud Intelligence Dashboards in your AWS environment using AWS CloudFormation templates or command line tools. These pre-built dashboards enable you to drive financial accountability, optimize costs, and track usage goals across their AWS infrastructure.
- This Guidance demonstrates how to effectively orchestrate multiple specialized AI agents to solve complex customer support challenges through different coordination mechanisms on AWS. Modern customer service environments demand sophisticated handling of multi-step interactions, personalized responses, and seamless access to various data sources.
- This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
- The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
- This Guidance demonstrates how retailers can use generative AI to improve their product catalog management process. By automating the traditionally manual task of processing and standardizing product data from manufacturers, retailers can significantly enhance their operational efficiency.
data-transfer-hub
PublicSeamless User Interface for replicating data into AWS.- This Guidance helps organizations rapidly scale and standardize their contact center operations by implementing Amazon Connect through infrastructure as code. It streamlines the provisioning of Amazon Connect instances and integrated services, eliminating manual configuration errors and reducing operational overhead.
- This guidance provides code and instructions to create a multi Kubernetes cluster environment to host a match making and game server solution, integrating Open Match, Agones and Amazon Elastic Kubernetes Service (Amazon EKS), for a session-based multiplayer game.
- This Guidance shows how to automate non-conformance review (NCR) disposition recommendations using generative AI and image analysis to reduce manufacturing delays. It demonstrates a multimodal recommender system that integrates with existing quality ticketing systems to accelerate quality engineering decisions.
- Guidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for placing video assets and associated metadata under management control of an AWS customer.
- Stable Diffusion is a popular Open Source project for generating images using Gen AI. Building a scalable and cost efficient inference solution is a common challenge. This project shows how to use AWS serverless and container services to build an end-to-end scalable, secure and price effecient asynchronous image generation architecture.
- This Guidance demonstrates how to build a comprehensive intelligent document processing (IDP) workflow that combines AWS AI services for enhanced fraud detection and data extraction. By leveraging key services like Amazon Bedrock and Amazon SageMaker AI, organizations can transform their document handling processes, achieving faster, more accurate
- Automated Forensics Orchestrator for Amazon EC2 and EKS is a self-service AWS Guidance implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture & examine forensic data from EKS & EC2 instances and attached volumes