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Web search

Web search is the retrieval of information from publicly accessible World Wide Web pages or indexes in response to a query.

How 5 Manning books explain it

AI for Everyday IT

Web search is the process of retrieving information from publicly available web pages through a search service.

How it is used
Supports current-information research for IT work, business calculations, source verification, and preparation for other AI tools.
How deep it goes
Explains natural-language searching, multi-page synthesis, citations, and smaller verification batches, but does not cover search internals.
Examples
Uses package versions, deprecated APIs, exchange rates, per diem rates, and subscription fees as research targets.
What you can do after
Apply it via ChatGPT or Gemini to gather current, cited information and pass verified findings to another AI tool.

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Build an AI Agent (From Scratch)

Web search is a tool capability that retrieves information from internet-accessible search indexes or pages.

How it is used
Supplies agents with web results when answers require precise, current, or source-checked information.
How deep it goes
Builds a minimal Python search wrapper, adds query options, and handles exceptions; does not detail search-index internals.
Examples
Tests a Tavily query about Kipchoge’s marathon record and inspects results containing URLs, snippets, and relevance scores.
What you can do after
Apply it via Tavily by configuring an API key and writing a Python function that returns search results.

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AI Agents and Applications

Web search is the retrieval of information from publicly accessible internet resources in response to a query.

How it is used
Automates research by finding relevant pages that an LLM application can scrape, summarize, and combine into a report.
How deep it goes
Descends from query generation through URL retrieval, scraping, truncation, per-page summaries, and aggregation.
Examples
Uses Astorga attractions, history, and cultural-sites queries with returned URLs and a summarized source page.
What you can do after
Build an automated research workflow that generates queries, collects URLs, scrapes pages, summarizes results, and joins them into a report.

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Data Analysis with LLMs

Web search is the process of finding information on the World Wide Web in response to a query.

How it is used
Deploys web search as an agent tool for retrieving information unavailable in a connected SQL database.
How deep it goes
Explains setup, query formulation, returned snippets, and multi-tool sequencing without examining search-engine internals.
Examples
Uses the FIFA 17 question, a generated search string, returned text snippets, and an agent execution trace.
What you can do after
Operate web search through a LangChain SQL agent configured with SerpAPI and an OpenAI chat model.

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WordPress Power Toolkit: Harness AI to build next-level websites

A search tool is a website interface that accepts a query and locates matching site content.

How it is used
Helps visitors locate specific site information and helps websites attract audiences through search engines and AI systems.
How deep it goes
Defines search tools, contrasts keyword and conversational search, and gives placement and quality guidance without detailing search algorithms.
Examples
Uses site search fields, specialized plugins, sitemaps, Google keyword queries, and conversational AI prompts as examples.
What you can do after
Operate a site search field, choose enhanced search features, and improve content so search systems can find and rank it.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.