The AWS Bedrock Retail Agent is an end-to-end solution showcasing how to implement a generative AI-driven retail chatbot using AWS Bedrock services. It connects to product catalog data, leverages retrieval-augmented generation for accurate responses, and integrates with AWS Lambda and API Gateway for scalable deployment. With support for personalized recommendations, inventory status checks, and simulated order creation, it helps retailers enhance customer engagement and streamline operations. Built in TypeScript and React, it offers a customizable framework for embedding AI-powered chat functionality into e-commerce platforms.

AIKitchen provides a developer-friendly Python toolkit enabling you to compose AI agents as modular building blocks. At its core, it offers pipeline definitions with stages for input preprocessing, LLM invocation, tool execution, and memory retrieval. Integrations with popular LLM providers allow flexibility, while built-in memory stores track conversational context. Developers can embed custom tasks, leverage retrieval-augmented generation for knowledge access, and gather standardized metrics to monitor performance. The framework also includes workflow orchestration capabilities, supporting sequential and conditional flows across multiple agents. With its plugin architecture, AIKitchen streamlines end-to-end agent development—from prototyping research ideas to deploying scalable digital workers in production environments.