Dictionary
Summarization
Compressing text while preserving meaning and structure.
1 min readupdated 2026-07-04
/ quick answer
Summarization comes in two flavors: extractive (pick sentences) and abstractive (rewrite). LLMs default to abstractive. Quality depends on the prompt spec: length, audience, format. Compressing text while preserving meaning and structure.
Compressing text while preserving meaning and structure. Summarization comes in two flavors: extractive (pick sentences) and abstractive (rewrite). LLMs default to abstractive. Quality depends on the prompt spec: length, audience, format. In practice: A weekly digest bot summarizes 40 news articles into a 5-bullet email. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Summarization comes in two flavors: extractive (pick sentences) and abstractive (rewrite). LLMs default to abstractive. Quality depends on the prompt spec: length, audience, format.
Example
A weekly digest bot summarizes 40 news articles into a 5-bullet email.
Related Workflows
/ frequently asked
What is Summarization?
Summarization comes in two flavors: extractive (pick sentences) and abstractive (rewrite). LLMs default to abstractive. Quality depends on the prompt spec: length, audience, format.
What is an example of Summarization?
A weekly digest bot summarizes 40 news articles into a 5-bullet email.
Why does Summarization matter for AI and automation?
Compressing text while preserving meaning and structure. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
↳ connected nodes
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Contextual Compression
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Workflow↳ linked
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