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Case study · AI · Healthcare

Juniper Medical AI

Your intelligent medical research companion.

AI/MLRAGHealthcare

Overview

Juniper is an AI-powered medical research companion covering 50+ topics — from diabetes and antibiotics to heart health and immunity. Ask in plain language, attach a photo to your question, and get an instant answer grounded by RAG technology, with your conversations synced across devices.

The challenge

Reliable medical information online is buried under noise, and generic AI chatbots make it worse: a model that confidently invents medical facts is worse than no answer at all. Juniper had to deliver instant answers people can trust — while staying honest about being an educational companion, not a doctor.

How we built it

01

Retrieval-augmented generation

Instead of trusting the model's memory, answers are grounded with RAG technology — generated from retrieved material, not guesswork.

02

50+ medical topics

Instant responses across a curated range of topics, from diabetes and antibiotics to heart health and immunity.

03

Ask with a photo

Questions aren't limited to text — users can upload a photo alongside their query.

04

Accounts done right

Sign in to save conversations across devices — with chat history management and export — or skip the account and browse as a guest.

Where it landed

  • Live in production at junipermedai.com
  • Instant answers across 50+ medical topics, grounded by RAG
  • Conversations synced across devices, with history export
  • Honest positioning: educational information, with a clear consult-a-professional disclaimer

Tech stack

Next.jsOpenAI APIRAG pipeline

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