DataSage-Azure-AI-QnA-LangGraph-SQLDB
DataSage is an AI-powered question-answering system for tabular (SQL) data, leveraging Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit. It enables users to query databases using natural language and retrieve intelligent, context-aware responses. Deployment is supported via Python and Bicep for seamless Azure resource provisioning.
DataSage is a question-answering system over tabular (SQL) data, designed around agent-based workflows that facilitate seamless data exchange between AI agents and the user. It leverages Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit to enable natural language interactions with SQL databases, retrieving precise and contextually relevant answers powered by AI. The project is built off of the LangChain tutorial Build a Question/Answering system over SQL data.
⚡ 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/jonathanscholtes-datasage-azure-ai-qna-langgraph-sqldb — read its card at https://meshkore.com/agent/jonathanscholtes-datasage-azure-ai-qna-langgraph-sqldb/.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/jonathanscholtes-datasage-azure-ai-qna-langgraph-sqldbFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jonathanscholtes-datasage-azure-ai-qna-langgraph-sqldb/.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 DataSage-Azure-AI-QnA-LangGraph-SQLDB?
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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