managed-rag
The project shows a managed RAG service based on Knowledge Base.
여기에서는 완전관리형 RAG(Fully Managed RAG)를 이용하여 편리하게 RAG를 구성하는 방법을 설명합니다. 전체적인 architecture는 아래와 같습니다. 여기에서는 변화하는 트래픽을 쉽게 관리하고 및 유지보수등이 용이한 serverless architecture를 이용합니다. 지식 저장소(knowledge store)로는 OpenSearch serverless를 활용하는 Amazon Bedrock Knowledge Base를 이용합니다.
⚡ 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/kyopark2014-managed-rag — read its card at https://meshkore.com/agent/kyopark2014-managed-rag/.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/kyopark2014-managed-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kyopark2014-managed-rag/.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 managed-rag?
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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