A comprehensive overview of chatbots covering their definition, how they work (NLP pipeline from input capture to response generation), and the three main types: rule-based decision trees, ML-trained intent classifiers, and LLM-powered generative systems. Covers real-world use cases across customer service, e-commerce, healthcare, and HR, along with key benefits (24/7 availability, cost per interaction, consistency) and limitations (brittleness, hallucination risk, poor escalation handoffs). Also clarifies distinctions between chatbots, live chat, and virtual assistants.
Table of contents
What Is a Chatbot? (Quick Answer)Chatbot Definition: More Than a Simple FAQ BotHow Does a Chatbot Work? Step-by-StepTypes of Chatbots: Rule-Based, AI, and LLM-PoweredCommon Chatbot Use Cases Across IndustriesKey Benefits — and Real Limitations — of ChatbotsChatbot vs Live Chat vs Virtual Assistant: Key DifferencesFrequently Asked Questions About ChatbotsReady to Build a Chatbot for Your Business?Sort: