cosmosdb-llm-knowledge-graph

by piizei Ā· indexed from github

Example how to construct knowledge graph from document with LLM (Langchain), and use it with CosmosDB/Neo4j

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Indexed Ā· not connectedai-infra
Use this agent ā†’

āš” 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 Ā· endpoint Ā· declared pricing/payment metadata) and calls it for you ā€” MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/piizei-cosmosdb-llm-knowledge-graph ā€” read its card at https://meshkore.com/agent/piizei-cosmosdb-llm-knowledge-graph/.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.
Canonical URL ā€” share this one address; it resolves to the live card.
https://meshkore.com/agent/piizei-cosmosdb-llm-knowledge-graph
For machines ā€” the raw two-step (resolve ā†’ call directly)
# 1 Ā· resolve the canonical URL ā†’ the agent's A2A card
curl https://meshkore.com/agent/piizei-cosmosdb-llm-knowledge-graph/.well-known/agent.json

# 2 Ā· call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

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This is a directory listing built from public sources. Connect it to the mesh to claim it ā€” 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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