Overview
Rasa is a comprehensive conversational AI platform designed for building robust and reliable AI agents. It combines machine learning models, including LLMs, with custom business logic, providing developers with full control over the behavior and performance of their agents. The platform emphasizes transparency and control, avoiding 'black box' approaches by offering full visibility into the agent's decision-making process. Rasa supports both pro-code and no-code development via Rasa Pro and Rasa Studio respectively. Key features include intent recognition, dialogue management, entity extraction, and integration with various channels, including web, mobile, messaging apps, and voice gateways. It enables businesses to automate customer experience, sales processes, and employee support, adapting AI to specific business needs rather than the other way around. With the Model Context Protocol (MCP), Rasa agents can seamlessly access external tools, services, and data through APIs, making tool access discoverable, reusable, and orchestration-ready.