A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Application implementation with business use cases for safely utilizing generative AI in business operations

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

Become a Certified Unicorn Developer and Participant in the API Token Economy

Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.

A demo application that demonstrates how fine-grained access controls configured in SageMaker Unified Studio are transparently enforced on data access through AI agents.

A high-performance, tiered routing engine for Large Language Model (LLM) notifications. Built with AWS CDK and TypeScript to optimize latency, manage model costs, and reduce alert fatigue through intelligent classification.

This repository contains the AWS CDK code that captures and stores system metadata of data solutions built on Amazon SageMaker at regular interval.

Verta ai ModelDB on AWS Cloud with integration into Amazon SageMaker for ML training data versioning and experiment tracking

AI-driven real-time sentiment analysis platform with serverless architecture. AWS Lambda + API Gateway + SageMaker backend, React/Next.js frontend with data pipelines & interactive dashboards.

React/Next.js app to convert SageMaker annotation formats.

Cloud-native multi-horizon market forecasting platform with probabilistic predictions, confidence scoring, and production-grade ML infrastructure.

Open source cloud experiments!

🌐 Explore production-ready AWS CDK patterns for TypeScript, showcasing infrastructure as code for common cloud architectures.

AI-powered cloud-native E-commerce platform built with React, NestJS, FastAPI, Docker, PostgreSQL pgvector, and AWS cloud services including EC2, S3, RDS, and SageMaker for semantic product search.