Example Concept: Context management in chatbots involves maintaining a session-based memory that stores user intents, entities, and conversation history. This can be achieved using context objects or session variables in platforms like Dialogflow or Rasa, allowing the chatbot to reference past interactions and provide more personalized and accurate responses. Implementing context management ensures that the chatbot can handle follow-up questions and maintain a natural conversational flow.