AI Chatbot Glossary
What Is Query Understanding?
Query understanding is the AI step of interpreting what a user is asking — even when vague, misspelled, or phrased with slang — via semantic search plus language models.
Definition
The AI step of interpreting what a user is actually asking, even when the wording is vague, misspelled, or contains slang. Modern chatbots combine semantic search (matching meaning) with language models so "How much does it cost?" and "pricing pls" return the same answer.
Why Query Understanding Matters for AI Chatbots
Query understanding is the difference between a chatbot that feels smart and one that feels broken. In a modern RAG stack, query understanding is an implicit part of the LLM pipeline — you mostly do not tune it directly, you improve it indirectly by feeding the model better context.
Related Terms
Intent Recognition
Intent recognition is the AI capability of identifying what a user wants to accomplish from their message — critical for routing conversations correctly.
Natural Language Understanding (NLU)
NLU is a subset of NLP focused on machine reading comprehension — understanding meaning behind user messages, not just keyword matching.
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.
Embedding
An embedding is a numerical representation of text in a high-dimensional vector space — used to measure semantic similarity between pieces of text.
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