AI Chatbot Glossary
What Is Training Data?
Training data is the information used to teach an AI model how to respond — for chatbots, this includes knowledge base documents, website content, FAQs, and product catalogs.
Definition
The information used to teach an AI model how to respond. For chatbots, training data includes knowledge base documents, website content, FAQs, product catalogs, and conversation logs. The quality and relevance of training data directly impacts the accuracy of chatbot responses.
Why Training Data Matters for AI Chatbots
In modern RAG-based chatbots, "training data" really means "the content the bot retrieves answers from." Quality beats quantity — 50 well-structured FAQ entries are worth more than a dump of 500 outdated blog posts. Clean the source, and the bot improves.
Related Terms
Bot Training
Bot training is the process of providing a chatbot with data, instructions, and examples so it can respond accurately to user queries.
Knowledge Base
A knowledge base is a structured collection of information (documents, FAQs, policies) that a chatbot uses to find accurate answers — searched in real time to ground responses.
RAG (Retrieval-Augmented Generation)
RAG is a technique that enhances AI responses by retrieving relevant information from a knowledge base before generating an answer — reducing hallucinations and grounding replies in real data.
Try Chatonbo free
Deploy an AI chatbot on your website in under 5 minutes — no credit card required.
Get Started Free