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Intuitive search

As explained in Elasticsearch in Action, Second Edition

Intuitive search is search that accepts conversational natural-language queries and interprets their context and intent.

Intuitive search accepts conversational, natural-language queries instead of requiring users to supply exact keywords or phrases. Generative AI models can interpret a query’s context and intent, helping search systems return more accurate and relevant results. section 1.6

Its proposed role is to reshape full-text search in modern engines such as Elasticsearch. Users can ask questions as they would in conversation, while AI handles more of the interpretation needed to connect the request with useful results. section 1.6

How Elasticsearch in Action, Second Edition covers it

How deep it goes
Defines conversational interpretation and its benefits, but stops short of implementation details, algorithms, or operational guidance.
Examples
Uses conversational questions, rather than specific keywords or phrases, as the central query example.
What you can do after
Evaluate how generative AI could reshape query interpretation and relevance in modern search engines.
How it connects
Connects intuitive search with generative AI, natural language, full-text search, and Elasticsearch.
Cover of Elasticsearch in Action, Second Edition
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Elasticsearch in Action, Second Edition. The section links point to the parts of the book it draws on.