Chatbots can be broadly classified into two types: Rule-based chatbots and AI-based chatbots.

Rule-based chatbots follow a pre-determined set of rules and protocols to respond to user queries. They can handle specific queries and are designed to provide pre-defined responses. Rule-based chatbots are perfect for simple, repetitive tasks such as answering frequently asked questions, providing customer support, and scheduling appointments. They are easy to build and maintain, and require minimal technical expertise.

AI-based chatbots use artificial intelligence and machine learning algorithms to understand user intent and provide more personalized responses. They can process natural language and can learn from user interactions to improve their responses over time. AI-based chatbots are designed to handle complex queries and can provide more intelligent and dynamic responses. They are ideal for tasks such as customer support, personal shopping assistants, and healthcare chatbots. However, they can be expensive to build and require significant technical expertise.

There are also hybrid chatbots that combine aspects of rule-based and AI-based chatbots. These chatbots can provide the benefits of both types and can be customized to meet specific business needs.

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