Eka
Provides structured access to curated medical knowledge-bases for the Indian healthcare context, enhancing LLM responses with accurate information.
About
Eka addresses the challenge of grounding AI responses in factual medical information specific to India, where centralized repositories for branded medications are lacking. It offers structured access to curated knowledge-bases through specialized tools, including Indian Branded Drug Search (covering 500,000+ drugs) and Indian Treatment Protocol Search (accessing 180+ documents from authoritative institutions). This ensures AI responses are accurate, reliable, and contextually relevant to the Indian healthcare landscape, reducing hallucinations and promoting an open ecosystem.
Key Features
- Indian Branded Drug Search: Access comprehensive metadata on over 500,000 branded drugs available in India.
- Indian Treatment Protocol Search: Provides contextual access to over 180 treatment protocol documents published by authoritative Indian healthcare institutions.
- 2 GitHub stars
- Seamless Workflow: Provides critical information without requiring context switching within LLMs.
- Reduces Hallucinations: Relies on curated medical data rather than AI's implicit general knowledge.
Use Cases
- Integrating with AI-powered healthcare applications to improve the reliability and accuracy of medical advice.
- Enhancing LLM responses with accurate and up-to-date medical information specific to the Indian healthcare context.
- Providing healthcare professionals with quick access to drug information and treatment protocols.
Sponsored