Intent classification

As explained in The Art of AI Product Development

The categorization of a search query into a type or intent that determines how it is processed or retrieved.

Intent classification categorizes a query before retrieval so the system can route it through an appropriate pipeline. For an AI-related question, it can distinguish technical advancements, market trends, product integration, and other major areas, then prioritize relevant sources. section 7.3.3

Routing an AI trends query

A broad question about AI trends may retrieve material from healthcare, finance, SaaS, and workflow automation. Classification identifies the query type and adjusts retrieval parameters, including which sources receive priority. section 7.3.3

Figure 7.10 Optimization potentials in the RAG system

Use the RAG optimization figure to locate query classification alongside other retrieval-optimization techniques. section 7.3.3

How The Art of AI Product Development covers it

How deep it goes

Explains classification through query categories and retrieval parameters, but does not detail its implementation.

Examples

Uses AI questions spanning technical advancements, market trends, product integration, healthcare, finance, SaaS, and workflow automation.

What you can do after

Operate/configure retrieval pipelines by assigning query types and setting intent-specific source priorities.

How it connects

Connects query classification with query expansion, query transformation, retrieval, and retrieval-augmented generation.

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Also explained in

• 

  liveBookmanning.com
  Natural Language Processing in Action, Second EditionIntent classification assigns text to a category representing the user's purpose or communicative intent.
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  liveBookmanning.com
  AI-Powered SearchQuery classification is the assignment of a search query to one or more predefined intent, topic, or behavior classes.
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  liveBookmanning.com
  Effective Conversational AIIntent classification is the assignment of a user utterance to one of a set of predefined intent categories.

Compare how 4 books explain intent classification →

Related concepts

• utteranceuses · An utterance is a spoken or written piece of natural-language input produced by a user to express an intended meaning.
• knowledge graphused by · A knowledge graph is a graph-structured representation of entities and their semantically meaningful relationships, often including associated attributes or facts.
• branchused by · Branching is the selection among alternative execution paths according to a condition, outcome, or program state.
• f-scoremeasured by · An F-score is a classification or evaluation metric combining precision and recall via their weighted harmonic mean; F1 is the equal-weight case.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.