Case study · AI Chatbot · RAG

A 24/7 AI assistant for patient care.

How Tenplus built a RAG-based AI chatbot that gives veterinary and healthcare patients instant, doctor-approved guidance and eases staff workload.

RAG architectureEmbedding searchLLM layerStreamlitAudit trails
AI Healthcare Chatbot (RAG) case study
24/7Patient support
InstantResponse times
SafeEscalation to vets
Client background

Veterinary clinics and partner pet stores.

Veterinary clinics and partner pet stores faced a rising number of patient queries, from minor repetitive questions to emergency concerns and follow-ups. Staff were overwhelmed and pet owners often faced delays. The client wanted a smart, always-available assistant grounded in doctor-approved documentation.

At a glance
  • Minor but repetitive questions and basic symptom checks
  • Emergency concerns and follow-up requests
  • Medication reminders and after-hours queries
The problem

High volume of repetitive queries and slow response times.

The client needed a unified AI system that gave instant support, reduced routine workload and improved patient experience.

A heavy load of recurring questions about feeding, medication and symptoms.
Long response times from busy phone lines and delayed emails.
No structured way to screen symptoms before an appointment.
No continuity: on follow-ups, staff had to start from scratch.
No 24/7 support, so night and weekend queries went unanswered.
What they needed
  • Instant support for common questions
  • Reduced routine workload for staff
  • Reliable guidance based on approved documents
  • Safe escalation for emergencies
Solution overview

An end-to-end RAG-based AI assistant.

Tenplus delivered a grounded assistant with a fast front end, safe recommendations and full logging.

1

Automated document ingestion

of doctor-approved material.

2

Embedding-based knowledge search

to retrieve the right guidance.

3

An LLM-powered conversational layer

for natural, helpful replies.

4

A safe, neutral recommendation engine

grounded in approved documents.

5

A Streamlit front end

for fast deployment and easy use.

6

Logging, audit trails and escalation

so vets receive detailed conversation logs.

Built with RAG architectureEmbedding searchLLM layerStreamlitAudit trails
How we built it

From documents to a safe conversational assistant.

1

Step 1Retrieval-augmented generation (RAG) architecture

2

Step 2Streamlit-based user interface

3

Step 3User journey from first question to follow-up

4

Step 4Technical architecture and safe escalation

5

Step 5Logging, audit trails and monitoring

Results

Faster help, lighter workload, better care.

  • Faster help for pet owners, with immediate answers.
  • Reduced workload as recurring questions no longer need staff.
  • 24/7 access, day or night.
  • Better triage, with emergency symptoms flagged early.
  • Smooth escalations, with detailed logs sent to doctors.
  • An improved patient experience at every step.
★★★★★
The AI chatbot changed the way we communicate with pet owners. It handles routine questions smoothly, flags emergencies, and gives our team more time to focus on real patient needs. Tenplus delivered a safe and reliable system that is easy for our staff and customers to use.
Veterinary Clinic Director
Start today

Give patients safe, instant, 24/7 guidance.

Start with a free proof of concept: one real use case, on your cloud. No cost, no risk, and you keep the code.

We’ve Helped Them

We’ve partnered with many household brand names to deliver insights and solutions to their problems with big data.