- The client aimed to design a generative AI-based assistant.
- The assistant is capable of interacting with the users and assisting them in cold therapy.
- Users can ask questions related to the treatment.
- To enhance patient service and support systems and streamline operations.
Collaborating with Beck Health System, we initiated the project with comprehensive discovery meetings to thoroughly understand the requirements and establish a clear product backlog. Our team developed the following key components of the system:
We initiated the project with comprehensive discovery meetings to thoroughly understand the requirements and establish a clear product backlog.
The solution used LangChain for efficient processing of large user queries and provided answers accordingly through AI assistant.
The AI assistant can take queries in multiple languages but answer them only in English language.
The solution used Azure OpenAI's GPT-4 Omni models (up to 32,000 tokens) to enable intelligent, responsive user interactions.
Used SQL Server for storing all user chat data, providing long-term data storage, Redis for real-time caching of queries, and Celery for handling queries asynchronously.
Used Azure Search Index for storing the vector representation of the knowledge dataset.
Improved Patient Engagement:
Significant improvement in patient interaction and satisfaction rates.
Data-Driven Insights:
Better decision-making capabilities through advanced data analytics and AI-driven insights.
User-Friendly Product Setup:
Simplified setup process for the Beluga Cold Therapy product, resulting in improved user experience and satisfaction.
