AI Chatbot Glossary
Plain-English definitions of the terms you'll encounter when evaluating, building, or managing an AI chatbot for your business.
A
AI Chatbot
A software application that uses artificial intelligence to simulate human conversation. AI chatbots can understand natural language questions and generate contextual responses, making them useful for customer support, lead generation, and internal knowledge management.
API Integration
Connecting a chatbot to external business systems (CRM, calendar, help desk, etc.) through their application programming interfaces. This allows the chatbot to read and write data in your existing tools.
C
Chatbot Analytics
Metrics and data about chatbot performance: conversation volume, resolution rates, common questions, user satisfaction, lead capture rates, and escalation frequency. Used to continuously improve the chatbot's effectiveness.
Content Moderation
Automated filtering that prevents inappropriate, harmful, or off-topic content from being processed or displayed in chatbot conversations. Essential for public-facing chatbots.
Conversation Flow
The designed path a chatbot conversation follows. Good conversation flows feel natural and guide users toward their goal (getting an answer, booking a meeting, providing contact info) without feeling scripted or robotic.
Conversational AI
The broader category of AI technologies that enable machines to understand, process, and respond to human language in a natural, conversational way. Includes chatbots, voice assistants, and interactive messaging systems.
E
Embeddings
Numerical representations of text that capture meaning and context. Used in RAG chatbots to match user questions with relevant documents. Two sentences with similar meaning will have similar embeddings, even if they use different words.
Escalation Path
The predefined route a conversation takes when the chatbot needs to involve a human. Can include options like email, phone, live chat, or ticket creation — with the full conversation context transferred to the human agent.
F
Fallback Response
What a chatbot says when it doesn't know the answer or can't understand the question. Good chatbots are honest about their limitations and offer alternative paths (like connecting with a human) rather than guessing.
Fine-Tuning
Training an AI model on your specific data to improve its performance for your use case. Different from RAG, which provides context at query time. Fine-tuning permanently changes the model's behavior, while RAG provides dynamic, updatable knowledge.
H
Hallucination
When an AI chatbot generates information that sounds plausible but is factually incorrect or made up. RAG-powered chatbots significantly reduce hallucination by grounding responses in real source documents.
Human Handoff
The process of transferring a chatbot conversation to a live human agent when the chatbot cannot resolve the issue. A good handoff includes transferring the full conversation history so the customer doesn't have to repeat themselves.
I
Intent Recognition
The ability of a chatbot to understand what a user wants from their message. For example, recognizing that 'How much does this cost?' and 'What's the price?' are both asking about pricing — even though the words are different.
K
Knowledge Base
A structured collection of information that a chatbot can search to answer questions. This can include documents, FAQs, help articles, policies, product information, and any other content relevant to your business.
L
Lead Qualification
The process of determining whether a prospect is a good fit for your business. AI chatbots can automate this by asking qualifying questions about budget, timeline, needs, and contact information during the conversation.
LLM (Large Language Model)
The AI models (like GPT-4, Claude, etc.) that power modern chatbots. These models are trained on vast amounts of text data and can generate human-like responses. When combined with RAG, they can answer questions about your specific business.
M
Multi-Agent System
A chatbot architecture where multiple specialized AI agents handle different types of questions. A routing agent determines which specialist agent is best suited for each query — for example, sending technical questions to a technical agent and sales questions to a sales agent.
N
NLP (Natural Language Processing)
A branch of AI that helps computers understand, interpret, and respond to human language. NLP is the core technology that allows chatbots to understand what you're asking, even when you phrase things differently each time.
P
Prompt Injection
A security vulnerability where a user tries to manipulate an AI chatbot by crafting inputs that override its instructions. Properly secured chatbots include prompt injection protection to prevent this.
R
RAG (Retrieval Augmented Generation)
A technique where an AI chatbot searches your specific business documents and data before generating a response. This ensures answers are grounded in your actual content rather than generic AI knowledge, dramatically reducing hallucination and improving accuracy.
Rate Limiting
A security measure that restricts how many messages a user can send in a given time period. Prevents abuse, spam, and excessive API costs on public-facing chatbots.
Role-Based Access Control (RBAC)
A security model where chatbot data access is restricted based on the user's role within the organization. For example, an HR chatbot might show benefits information to all employees but salary data only to managers.
S
Session Management
The system that tracks individual conversations and maintains context across messages. Allows a chatbot to remember what was discussed earlier in the same conversation and provide relevant follow-up responses.
T
Token
The unit of text that AI models process. Roughly, one token equals about 3/4 of a word. Token usage determines API costs — longer conversations and larger documents use more tokens.
V
Vector Database
A specialized database used in RAG chatbots to store and search document content efficiently. Documents are converted into numerical representations (vectors) that allow the chatbot to find semantically relevant content, even when the exact words don't match.
W
Webhook
An automated message sent from one application to another when a specific event occurs. Chatbots use webhooks to trigger actions in other systems — like creating a CRM contact when a lead is captured or sending a notification when a conversation needs human attention.
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