medical-rag-hackathon
A RAG built for medical queries ( in 12 hours for a hackathon )
This is something we built for a hackathon ( VIT Chenani - hack-a-cure ) in just around 12 hours. Obviously, it's AI assisted 'cause we didn't want to spend time fixing syntax errors or programming logics since its limited by time. The evaluation was with RAGAS and we ended up getting around 0.62~ ( out of 1 where faithfulness, correctness, context retrieval would be considered ).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jaxparrow07-medical-rag-hackathon — read its card at https://meshkore.com/agent/jaxparrow07-medical-rag-hackathon/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/jaxparrow07-medical-rag-hackathonFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jaxparrow07-medical-rag-hackathon/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own medical-rag-hackathon?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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