Glossary · Topic 07 · 7 terms
Retrieval & Behavior
How AI agents and pipelines crawl, chunk, and pull source content.
Content ChunkingSplitting long content into discrete, retrievable units for RAG pipelines.Context Window FitWhether your most-important page content can fit inside the model's context window without truncation.Embedding RelevanceHow close your content's vector representation is to the user's query in semantic space.Freshness Signals (AI)Cues that tell AI engines your content is current.Query Intent Matching (LLM-Level)Whether the LLM correctly interprets a user's intent and retrieves your page in response.Tool-Augmented RetrievalWhen LLMs call external tools (search, calculators, databases) to ground responses.User-AgentThe line a browser or crawler sends with every request, naming itself. It is how a visit from GPTBot is told apart from a visit from a person.
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