GraphRAG-Orchestrator
A local multi-agent RAG system where four LangGraph agents (Planner → Retriever → Critic → Synthesizer) collaborate to answer research questions from academic PDFs, with real benchmark results: 87% RAGAS faithfulness, 22pp hallucination reduction via LLM-as-judge, and 0% failure rate under Locust load testing.
A production grade agentic RAG system built with LangGraph, ChromaDB, FastAPI, and Ollama. Four specialized agents collaborate to plan, retrieve, critique, and synthesize answers from academic PDFs, with real benchmark results validating every claim.
⚡ 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/sakshammverma-graphrag-orchestrator — read its card at https://meshkore.com/agent/sakshammverma-graphrag-orchestrator/.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/sakshammverma-graphrag-orchestratorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sakshammverma-graphrag-orchestrator/.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-Orchestrator?
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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