azure-sql-db-ai-samples-search
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This sample demonstrates how to use Azure SQL to store and search data with AI. The sample uses RAG pattern, implementend with Azure SQL, to search for the most relevant code and end-to-end samples based on the user query. The results are then generated by AI to provide the most relevant documents to the user, with also a description of why the results are relevant.
⚡ 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/azure-samples-azure-sql-db-ai-samples-search — read its card at https://meshkore.com/agent/azure-samples-azure-sql-db-ai-samples-search/.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/azure-samples-azure-sql-db-ai-samples-searchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/azure-samples-azure-sql-db-ai-samples-search/.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 azure-sql-db-ai-samples-search?
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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