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Retrieval and RAG

What is Context window?

The amount of information a model can process in one interaction

The context window limits the text, instructions, history and retrieved passages a model considers when answering. Available content may be truncated or compete for attention.

What Context window 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

Keep the answer and its evidence close together, avoid long introductions and use a visible hierarchy.

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

Context window 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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