Platform Architecture
ChordianAI is built on four cooperative layers: Search, Analyze, Optimize, Orchestrate.
Layer Overview
| Layer | Key Question | Main Output | Role |
|---|---|---|---|
| Search | ”What data do we need and where does it come from?” | Clean, structured, semantically searchable enterprise data | Data acquisition & knowledge structuring |
| Analyze | ”What is the problem and how should we structure it?” | Workflow blueprint, structured constraints, dependency map | Understanding & problem structuring |
| Optimize | ”What is the best solution to the structured problem?” | Optimal decision, plan, schedule, or optimized configuration | Decision-making & solving |
| Orchestrate | ”How do we execute this end-to-end reliably and safely?” | Executed workflow with agents, validations, guardrails, and logs | Coordination & autonomous execution |
GraphRAG Search Engine
Within the Search Layer, ChordianAI includes a GraphRAG pipeline that combines semantic retrieval, graph traversal, and permission-aware generation.
This subsystem builds and maintains a knowledge graph of entities + relationships with provenance, and links it to full-text and embeddings for hybrid retrieval.