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AI in Search and Information Retrieval Print

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Finding what you need.

WHAT CHANGED

Search traditionally matched keywords. Modern search increasingly matches meaning.

A query phrased differently from the document still finds it.

HOW

Embeddings: text converted to numbers representing meaning, so similar meanings are found together.

WHAT THIS ENABLES

Asking questions in plain language Finding documents that do not contain your exact words Searching across languages

WHERE IT IS USED

Web search Site search Internal document search Support systems finding the right article

FOR YOUR OWN SITE

Default search on most platforms is keyword-based and frequently poor.

Improved search meaningfully affects whether visitors find what they need.

COMBINING SEARCH WITH LANGUAGE MODELS

Retrieval augmented generation: search finds relevant passages, a model answers from them.

That is how most useful business AI applications work.

THE ADVANTAGE

Answers grounded in your actual documents, with citations, rather than generated from training data.


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