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Neuro-Symbolic Conversational Vehicle Advisor: Deterministic Constraint Solving, State Integrity, and Multi-Stage Recommendation

Abstract Most conversational AI implementations in industry rely on naive Retrieval-Augmented Generation (RAG) or unconstrained agentic loops.

  • Vehicle Advisor is a production conversational platform for automotive discovery and advice
  • Neuro-symbolic pipeline separates LLM from critical business logic to enforce constraints
  • Strongly typed BuyerProfile aggregate maintains authoritative user state throughout conversations

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