Vet AI Agent
A veterinary AI platform for structured symptom conversations and knowledge retrieval.
The Challenge
Pet owners needed a structured way to describe symptoms and find relevant veterinary information. The project required a conversational system that could ask follow-up questions, retrieve from a large veterinary knowledge base, and support triage and scheduling workflows.
The Approach
We developed a multi-agent platform using LangGraph to coordinate symptom intake, contextual follow-up questions, retrieval augmented generation, and workflow routing. The system connects OpenAI models to a Pinecone knowledge base containing more than 1,000 veterinary cases, with Django REST, PostgreSQL, Redis, and Celery supporting the application and asynchronous tasks. The platform is intended to support veterinary workflows and does not replace assessment by a licensed veterinary professional.
Key Capabilities
Tech Stack
The Result
Critical failures reported during the live project period
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