Building an AI-Powered Veterinary Product Recommendation System: A Deep Dive into Semantic Search and LLM Integration

The Challenge

In the veterinary industry, matching the right over-the-counter supplements and products to specific animal patients is a complex task that requires deep expertise. Veterinarians must consider multiple factors: the patient’s species, weight, breed, age, existing conditions, current medications, and potential allergies. With hundreds of available products, manually searching through options to find the most relevant recommendations is time-consuming and error-prone.

We set out to build an AI-powered system that could intelligently recommend veterinary products based on comprehensive patient data and prescription information while maintaining the clinical accuracy that veterinary professionals demand.

The Solution: A Multi-Layered AI Architecture

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