All glossary terms

Definition

Chatbot

A chatbot is software that conducts text-based conversations with users, automating responses to questions or tasks. In customer support, a modern AI chatbot uses large language models and retrieval-augmented generation to answer questions from a company's own knowledge base, process transactions via API integrations, and escalate to human agents when needed — moving far beyond the rule-based bots of the 2010s.

How it works

Early chatbots (pre-2022) were rule-based: a decision tree of if-then logic that matched user input to predefined responses. They were brittle — any phrasing outside the anticipated patterns triggered 'I didn't understand that' fallbacks — and required significant maintenance to cover new scenarios.

LLM-powered chatbots changed this fundamentally. Instead of matching patterns, they generate responses by reasoning over retrieved context and general language understanding. They handle novel phrasings, multi-turn conversations, ambiguous requests, and follow-up questions without explicit programming for each case.

The quality gap between rule-based and LLM-powered chatbots is large enough that the term 'chatbot' is now ambiguous — it can describe either generation of technology. When evaluating a 'chatbot' for support, always confirm whether it uses an LLM with RAG or a rule-based flow builder.

When you'll encounter it

Chatbot is used interchangeably with 'AI agent,' 'virtual assistant,' 'AI support widget,' and 'conversational AI.' You'll encounter it in vendor marketing, help center widget configurations, and support team training materials.

How SupportSyndicate handles this

SupportSyndicate's chatbot is LLM-powered with RAG grounding — it generates responses from your knowledge base, not from scripted trees. Each response includes a confidence score, and low-confidence answers escalate to human agents rather than guessing.

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