RAG-Evolution-Playbook
Turn RAG system evolution into solution packages you can review, port - and reject. Two independently adoptable design packages (knowledge compilation / governed improvement), 40 claims with evidence coordinates, contracts, governance gates, D0-D5 handoff. Docs only: no runtime code, no unverified benefit numbers.
自动化保障：scripts/check_docs.py 在每次 push 与 PR 上校验链接与锚点、Claim 定义与引用覆盖、Mermaid 与 JSON 结构、固定版本引用、越权措辞与占位符。它不使用任何第三方依赖。
⚡ 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/conradgui-rag-evolution-playbook — read its card at https://meshkore.com/agent/conradgui-rag-evolution-playbook/.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/conradgui-rag-evolution-playbookFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/conradgui-rag-evolution-playbook/.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 RAG-Evolution-Playbook?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.