Relish AI is an AI-powered conversational chatbot specifically developed to support eCommerce platforms like Shopify. It automates customer interactions, addresses FAQs, and facilitates sales processes, ensuring businesses can operate efficiently even when offline. The platform offers customizable features, allowing businesses to refine their customer engagement strategies while improving response times and reducing operational costs. With capabilities such as product recommendations, tracking orders, and assisting with queries, Relish AI significantly boosts sales while streamlining support services.

Cognee is a powerful AI agent that revolutionizes customer support by providing automated responses to common inquiries, thus reducing the workload on human agents. It can handle multiple conversations simultaneously, ensuring quick and accurate responses to customer questions. With its integration capabilities, Cognee can be embedded into various platforms, providing seamless support across channels. Designed to improve user satisfaction, it collects data and learns from interactions, allowing for continuous improvement in its responses and service delivery.

Automation Chatbot is designed to streamline repetitive workflows by allowing users to interact with connected services through conversational AI. Powered by OpenAI models and a Chroma vector store, the agent maintains context across sessions, recalls past interactions, and executes actions in platforms like Slack, Google Drive, and Calendar. With a modular connector architecture, developers can add new integrations for email, file management, or custom APIs. A built-in scheduling module enables automated triggers based on time or events. Using TypeScript definitions, the system validates input/output and generates code snippets automatically. The framework can run on local machines or containerized environments, providing extensibility and security controls like OAuth2 and API key management. This empowers organizations to deploy chat-driven automation tailored to their operational needs.