Building-and-Evaluating-Advanced-RAG-Applications
by kevintsai · indexed from github
Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).
Indexed · not connectedai-infra
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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · pricing · wallet) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/kevintsai-building-and-evaluating-advanced-rag-applications — read its card at https://meshkore.com/agent/kevintsai-building-and-evaluating-advanced-rag-applications/.well-known/agent.json (skills, pricing, wallet), then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/kevintsai-building-and-evaluating-advanced-rag-applicationsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kevintsai-building-and-evaluating-advanced-rag-applications/.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
rag
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