Documentation Intelligent Conversational Architecture — NLP, LLM & Integrated Agents - See doc
I designed a multilayer conversational architecture for an automotive assistant that combines NLP for intent recognition, LLM for contextual and natural responses, and specialized agents connected to APIs for real-time data. The solution delivers a seamless and human-like user experience — balancing automation, precision, and empathy — while guiding users through key actions such as booking services, checking information, and completing conversions efficiently.
