RAG Knowledge Base
Clinical drug information powered by your own documents + global medical database
Overview
A 3-tier query system: Tier 1 searches the clinic's own uploaded documents (protocols, fee lists, formulary), Tier 2 searches the global clinical database (BNF, WHO guidelines, DRAP drug list, Pakistan National Formulary uploaded by EliteHMS), and Tier 3 falls back to Groq Llama AI. Responses are labeled by source. Store owners can upload up to 25 documents (15 MB total).
Standard Operating Workflow
Upload Documents (Admin)
Pharmacy uploads own protocols, fee schedules, medicine list. Supported: PDF/DOCX/TXT/MD (up to 5 MB each).
Processing
System splits text into 600-char chunks → Gemini embedding (768-dim) → stored in Qdrant Cloud with store ID tag. Status: Ready.
Staff Query
Doctor or pharmacist types question: 'Paracetamol dose for a 5-year-old?'
3-Tier Search
Tier 1: store docs (no match) → Tier 2: global DB (Paracetamol monograph found) → Groq generates answer with source citation.
Labeled Response
'📋 Your Knowledge' / '🌐 Clinical Database' / '🤖 AI Knowledge'. User knows exactly how confident to be.
Key Operational Benefits
Real-World Healthcare Scenarios
Pediatric Dose Query
Pharmacist asks: 'Paracetamol syrup dose for 3-year-old?' System searches global DB, finds monograph chunk, returns: '10–15 mg/kg every 4–6 hours. For 120mg/5ml syrup: 2.5–5ml per dose.' Source cited.