Retrieval-augmented generation (RAG) boosts large language models, like GPT, with specific organizational knowledge, essential for high-accuracy fields like healthcare to minimize errors.
Embel Assist sees RAG architecture as key to enhancing healthcare through improved content and personalized patient recommendations.
Including:
- Clinical Decision Support: Create personalized treatment plans using patient data and external research.
- Human-like Virtual Assistants: Advanced virtual assistants for natural patient interactions and health management.