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Advanced Retrieval-Augmented Generation (RAG) system for Arabic medical consultations.
The Shifaa Medical RAG system provides intelligent medical information retrieval through a four-stage pipeline:
Query β Specialty Detection β Topic Paths β Consultation Retrieval β Insight Extraction
from shifaa.rag import MedicalRAGSystem
# Initialize the system (auto-downloads vector DB if needed)
rag = MedicalRAGSystem()
# Process a medical query
query = "Ω
Ψ§ ΩΩ Ψ£ΨΉΨ±Ψ§ΨΆ Ψ§Ψ±ΨͺΨ¬Ψ§ΨΉ Ψ§ΩΩ
Ψ±ΩΨ‘Ψ"
results = rag.process_query(query)
# Access results
print("Specialties:", [s.specialty for s in results.specialties])
print("Topics:", [t.path for t in results.topic_paths])
print("Insights:", [i.information for i in results.insights])
from shifaa.rag import MedicalRAGSystem
rag = MedicalRAGSystem(
google_api_key="your-api-key-here"
)
results = rag.process_query("Ω
Ψ§ ΨΉΩΨ§Ψ¬ Ψ§ΩΨ΅Ψ―Ψ§ΨΉ Ψ§ΩΩ
Ψ²Ω
ΩΨ")
pip install shifaa