Rasa is a developer platform for building, deploying, and managing enterprise-grade conversational AI agents that extend LLMs with business logic.
Rasa provides a platform for creating trustworthy AI agents for real-world use, focusing on extending Large Language Models (LLMs) with structured flows, deterministic logic, and recovery patterns. It enables the development of agents capable of managing complex, layered conversations with memory, logic, and adaptability. The platform supports features like Enterprise RAG for real-time information retrieval, NLU for intent-based understanding, and real-time voice infrastructure. Rasa is designed for enterprise teams to build and deploy high-trust AI agents that perform in production environments. It offers full control over how AI agents reason, respond, and perform, with a flexible development experience for both technical and business teams. The platform allows for integration with existing systems, handling complex logic, and deployment on-premises, in private cloud, or as a managed service.
Integrations: AudioCodes VoiceAI Connect (additional purchase), Vault, OpenTelemetry, Redis, Kafka
Platforms: Web
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