Eka provides structured access to curated medical knowledge-bases specifically for the Indian healthcare context, enhancing LLM responses with accurate information on drugs and treatment protocols.

Which LLMs support Eka?

Currently, Anthropic's Claude models have native Model Context Protocol (MCP) support, allowing seamless integration with Eka. Cursor and Windsurf applications also support MCP.

What data does Eka provide?

Eka offers access to a comprehensive database of over 500,000 branded drugs available in India and over 180 treatment protocol documents published by authoritative Indian healthcare institutions.

How does Eka improve LLM responses?

Eka grounds AI responses in verified healthcare information, reducing hallucinations by relying on curated medical data rather than the AI's implicit general knowledge. It seamlessly integrates critical information without context switching.

Do I need an Eka Care account to use Eka?

Yes, access to Eka's APIs requires valid API credentials from Eka Care to access the medical information. Contact ekaconnect@eka.care to obtain a client ID and secret.

Eka: Medical Knowledge for LLMs in Indian Healthcare

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

01Indian Branded Drug Search: Access comprehensive metadata on over 500,000 branded drugs available in India.

02Indian Treatment Protocol Search: Provides contextual access to over 180 treatment protocol documents published by authoritative Indian healthcare institutions.

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04Seamless Workflow: Provides critical information without requiring context switching within LLMs.

05Reduces Hallucinations: Relies on curated medical data rather than AI's implicit general knowledge.

Use Cases

01Integrating with AI-powered healthcare applications to improve the reliability and accuracy of medical advice.

02Enhancing LLM responses with accurate and up-to-date medical information specific to the Indian healthcare context.

03Providing healthcare professionals with quick access to drug information and treatment protocols.