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From 20% to 90% Accuracy: How Orbis Rebuilt RAG App with MCP

How Orbis Holding rebuilt a failing RAG system using Memgraph and MCP, boosting query accuracy from 20% to 90% on a 100M-node graph.

What's covered

  • Why traditional one-shot LLM-to-Cypher pipelines fail on messy, real world graph data
  • How MCP enables adaptive query refinement instead of silent empty results
  • How Orbis reliably queries encoded, abbreviated, and translated multilingual properties without manual fixes
  • How Memgraph handles low latency, multi-hop traversal at 100M node scale with consistent accuracy
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