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Retrieval and RAG

What is Information retrieval?

The process of finding information relevant to a query

Retrieval selects documents or passages before an answer is generated. It may use lexical matching, ranking signals, embeddings or a combination.

What Information retrieval means in GEO

In a RAG pipeline, publishing is not enough. A page must be discoverable, enter the candidate set and survive reranking.

Why it matters

Check whether the page can be found for each subtopic, not only whether it is indexed by a traditional search engine.

What to check in practice

Identify the stage where the source disappears: access, initial retrieval, reranking, generator context or citation selection.

How it connects to other concepts

Information retrieval belongs to retrieval and rag. It is best analyzed alongside related terms because AI visibility depends on several stages and signals rather than one isolated optimization.

Common mistake

Blaming final copy when the document never reached the model that writes the answer.

Turn these concepts into metrics

Bee LLM tracks mentions, citations, position, sentiment and competitors across major AI engines.

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