agentic-customer-service-medical-clinic
Basic Information
This repository provides an autonomous conversational agent configured for a medical or dental clinic to handle customer service interactions. It is built using LangGraph and LangChain and is designed to answer general clinic questions, manage appointments, check doctor availability, verify whether results are ready, and explain available services. The agent is intended to be deployed across messaging channels such as WhatsApp, Telegram, or Instagram. The project includes components for a retrieval-augmented generation (RAG) approach using a vector database and demonstrates error handling and realistic chat flows. Setup and operation are script-driven with instructions to create and populate the vector database and to run the agent locally or via LangGraph Studio.