multi-modal-chatbot-with-advanced-rag
Amazon Bedrock Q&A multi-modal chatbot with advanced RAG
이 워크샵에서는 여러 Advanced RAG 기법을 이해하고, Multi Modal 챗봇 Q&A에 여러 RAG 기법을 적용해 볼 수 있습니다. 일반적인 데모를 넘어 실제 프로덕션 환경에서 활용할 수 있는 고급 검색 증강 생성(RAG) 기술을 소개하고 실습함으로써 AWS에 대한 고객의 관심과 참여를 높이는 것을 목표로 합니다.
⚡ 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/aws-samples-multi-modal-chatbot-with-advanced-rag — read its card at https://meshkore.com/agent/aws-samples-multi-modal-chatbot-with-advanced-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/aws-samples-multi-modal-chatbot-with-advanced-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-multi-modal-chatbot-with-advanced-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 multi-modal-chatbot-with-advanced-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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