How deeply does Build a Website with ChatGPT cover information retrieval?

Explains the text-box workflow and field selection, but defers the generated JavaScript implementation details.

Information retrieval

As explained in Build a Website with ChatGPT

Search is the process of finding records whose data matches a user-supplied word or phrase.

Information retrieval means finding records whose data matches a word or phrase supplied by a user. On a web page, the user enters search text, and the displayed data is replaced with matching records. section 13.4.1

A search component is usually a text box. Give it an ID so JavaScript can identify it, and use a placeholder to tell users what to enter. JavaScript monitors the field and refreshes the displayed JSON records as the user types. section 13.4.1

Search a course catalog

Add a text box with the ID "Search" and placeholder "Search". Prompt JavaScript to repopulate the article element with records containing the typed text in any field. To narrow the search, exclude selected fields or name only the fields to search. section 13.4.1 section 13.5

A text box with the ID "Search" and the placeholder "Search".

Use the search-box listing as a compact HTML starting point. section 13.4.1

When the user types text in the "Search" text box, 
repopulate the article element with just the records 
that include the search text in any field.

Use the behavior listing as a copyable JavaScript requirement. section 13.4.1

How Build a Website with ChatGPT covers it

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Also explained in

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Introduction to Generative AI, Second EditionRetrieval is the process of finding relevant information from an external collection in response to a query or representation.
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Effective Conversational AIThe retrieval phase is the stage of a retrieval-augmented generation process that finds and obtains information relevant to an input.
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Grokking AI ApplicationsThe process of finding and obtaining relevant information from a data source for use in an AI application.
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MongoDB 8.0 in Action, Third EditionInformation retrieval is the process of finding relevant information from a collection of stored data in response to an information need.
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Natural Language Processing in Action, Second EditionFull-text search retrieves documents by searching their complete textual contents rather than only structured fields.
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Microsoft Azure in ActionRetrieval is the process of selecting relevant stored information to provide as context for a language model.
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Elasticsearch in Action, Second EditionSearching textual content using tokenization, matching, relevance scoring, or related linguistic analysis.
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Data Storytelling with Altair and AIInformation retrieval is the process of searching for and returning relevant information from a collection or external knowledge source.
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Ensemble Methods for Machine LearningInformation retrieval is the field concerned with finding and ranking relevant information items in response to queries.
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Building Reliable AI SystemsRetrieval is the process of finding relevant information from an external collection to supply as model context.

Compare how 11 books explain information retrieval →

Related concepts

retrieval-augmented generationused by · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
hybrid searchused by · Hybrid search is an information-retrieval technique that combines multiple retrieval methods or relevance signals to find or rank relevant results.
similarity searchincludes · Similarity search is a retrieval technique that finds or ranks items by comparing their representations with a query according to a similarity or distance measure.
chunkingused by · Chunking is the process of dividing content or data into smaller units for processing, retrieval, or organization.
agentic RAGused by · Agentic RAG is a retrieval-augmented generation approach in which an agent dynamically decides how and when to retrieve information, often iterating or using tools before generating a response.

This explainer was generated by Manning's knowledge graph from the text of Build a Website with ChatGPT. The section links point to the parts of the book it draws on.