Six Phases · Active Development
VectorMBE Implementation Roadmap
Six phases delivering smarter knowledge-graph ingestion, hybrid retrieval, intelligent routing, live SysML v2 connectivity, structural evaluation, and constraint-driven trade analysis. Each phase is a discrete, shippable capability increment.
At a Glance
Reasoning Gate + Entity Validator
Every AI-generated entity is validated by an OWL reasoner before it enters the graph. Anything that fails due to a wrong class hierarchy, conflicting constraints, or low confidence gets flagged for human review instead of silently polluting the model.
Dual Retrieval Architecture
Semantic search and graph traversal answer different questions. This phase combines both, using vector similarity for concept lookup and graph traversal for traceability, with automatic query routing so engineers get the right answer without knowing which path to take.
Intelligent Model Routing + Completeness Checker
Different tasks need different models. This phase dispatches each job (extraction, tracing, annotation, summarization) to the right model automatically, tracks cost per project, and alerts engineers when the graph is missing connections before gaps become integration problems.
SysML v2 Integration
VectorMBE connects directly to live SysML v2 repositories via REST API with no batch exports and no file parsing. Changes in the model sync to VectorMBE automatically, and requirement verification runs over the actual graph structure instead of flat prompts.
Evaluation Framework + Digital Thread
Standard accuracy metrics don't tell you if your knowledge graph is structurally correct. This phase adds graph-level scoring, versioned model diffing, and a cross-phase digital thread that traces every decision from requirements through design to operations, with PLM integration to close the loop.
Constraint-Driven Trade Analysis
With a validated, evidence-backed graph, MCP-connected AI agents compare design alternatives against competing constraints and objectives. Each run queries the graph for bounds, executes the analysis, and logs results with full provenance: which requirement drove which decision, which model produced which output. Agents cannot override constraint gates, so the governed graph stays consistent throughout.
Questions about the roadmap or want to shape what gets built next? We're actively developing VectorMBE and welcome input from engineering teams working in safety-critical programs.