Glossary term 4 of 33
Chunk
A passage of content retrieved and used on its own, separated from the page it came from.
What does Chunk mean?
A passage of content retrieved and used on its own, separated from the page it came from. AI systems retrieve and synthesise chunks, not whole documents, which is why self-contained passages outperform passages that only make sense in context.
Quoted without alteration from the glossary of ECHO: How to Make AI Recommend Your Brand.
Which ECHO pillar does Chunk belong to?
Chunk belongs to Hooks, pillar 3 of the ECHO framework. Does it find your content when the question is asked?
The third ECHO pillar. Structured, extractable, self-contained passages that an AI can lift out and attribute without losing meaning. The strongest hooks are ones only you can create: original data, proprietary research, unique analytical framing.
If it trusts you but never surfaces your content for the question being asked, the problem is Hooks. It is built in part 4: hooks, across chapter 7 and chapter 8.
An explicit source attribution in a generated answer: the link or reference an answer engine shows for a claim.
Anchoring a generated answer in retrieved source material rather than in the model's training data alone.
The third ECHO pillar. Structured, extractable, self-contained passages that an AI can lift out and attribute without losing meaning.
What a document adds beyond what already exists on a topic.
The decomposition of one user question into many simultaneous sub-queries, each retrieving different content, which the system then synthesises into a single answer.
Generating an answer from live retrieved documents rather than from training data alone.
Nearby in the glossary
The glossary runs alphabetically. Canonical source of ground truth comes before Chunk and Citation after it.