Domain Knowledge Catalog

Automotive & Mobility Knowledge Catalog for LLMs

Comprehensive diagnostic ontologies, electric vehicle charging architectures, vehicle specifications, maintenance schedules, and CAN-bus/telematics definitions for automotive AI agents.

Built for: In-vehicle voice assistants, dealership service advisors, fleet telematics agents, and autonomous vehicle diagnostic LLMs.

Core Catalog Modules

Diagnostics

OBD-II & DTC Knowledge Graph

Complete standard and manufacturer-specific Diagnostic Trouble Codes (P, B, C, U series), symptom correlation trees, and root-cause repair procedures.

Electrification

EV & Battery Ontologies

Charging standards (NACS, CCS1, CCS2, CHAdeMO), 400V vs 800V charging curve profiles, battery chemistry tradeoffs (LFP vs NMC), and thermal management logics.

Specifications

Trim, Powertrain & Part Fitment

Standardized vehicle taxonomy: make, model, trim, drivetrain (FWD/RWD/AWD), OEM part numbers, fluid viscosity ratings, and torque specifications.

Safety & ADAS

Autonomy Levels & Sensor Specs

SAE Level 0-5 definitions, radar/lidar/camera sensor calibration requirements, ADAS operational design domains (ODD), and failure mode mitigations.

Sample Diagnostic Schema for LLM Agents

Formatted for rapid semantic matching when an agent analyzes telemetry strings or driver queries:

{
  "code": "P0420",
  "system": "Powertrain",
  "description": "Catalyst System Efficiency Below Threshold (Bank 1)",
  "severity": "Moderate",
  "freeze_frame_triggers": ["ECT > 70C", "RPM: 1200-2800", "Closed Loop Active"],
  "common_causes": [
    "Faulty catalytic converter",
    "Downstream oxygen sensor (O2) fault",
    "Exhaust gas leak upstream of catalyst"
  ],
  "agent_action_recommendation": "Check O2 sensor response waveforms before recommending converter replacement."
}