What is AI Chatbot?

AI chatbots represent a significant evolution beyond the scripted, flow-based chatbots of earlier years. Powered by large language models, modern AI chatbots can understand nuanced questions phrased in any way, maintain context across a multi-turn conversation, handle topics they weren't explicitly trained to answer, and generate responses that feel genuinely helpful rather than robotic.

AI chatbots are deployed in several business contexts: customer support (handling tier-1 inquiries, FAQs, order status, and account questions), lead qualification (engaging website visitors, collecting contact information, and routing qualified leads to sales), e-commerce assistance (helping customers find products, answering sizing questions, processing returns), and internal knowledge retrieval (employees querying HR policies, product documentation, or internal wikis through a chat interface).

The most capable business AI chatbots combine an LLM with retrieval-augmented generation (RAG) — a technique where the chatbot queries a knowledge base of company-specific documents before generating a response. This grounds the chatbot's answers in your actual business data rather than the LLM's general training, dramatically reducing hallucinations on business-specific topics.