GraphRAG-Studio
Full-stack GraphRAG application with Django backend and React frontend. Build knowledge graphs, detect communities, and chat with documents using hybrid retrieval and LLM-powered reasoning.
GraphRAG Studio is a full-stack, intelligent Knowledge Graph-enhanced Retrieval-Augmented Generation (RAG) application. Unlike traditional RAG systems that rely solely on flat vector similarity (which often loses global context and complex relationships), GraphRAG understands the structure of your data. It allows users to ingest text documents, automatically build a dynamic knowledge graph, detect thematic communities, and chat with the data using advanced hybrid retrieval and LLM-powered reasoning.
⚡ 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/mohammad-majoony-graphrag-studio — read its card at https://meshkore.com/agent/mohammad-majoony-graphrag-studio/.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/mohammad-majoony-graphrag-studioFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mohammad-majoony-graphrag-studio/.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 GraphRAG-Studio?
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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