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Knowledge Extraction

available

Extract and organize people, trends, and concepts from content into a structured knowledge base.

content

Tools Used

entity-extraction embeddings-api

What This Skill Does

Knowledge Extraction identifies and organizes key entities (people, trends, concepts) from any content into a structured knowledge base.

Capabilities

  • People Profiles — Extract and build profiles for mentioned individuals
  • Trend Identification — Spot and categorize emerging trends
  • Glossary Building — Define and explain technical concepts
  • Relationship Mapping — Connect related entities

How It Works

  1. Provide content (transcript, article, or document)
  2. The skill identifies key entities and their context
  3. Entities are categorized (people, trends, concepts)
  4. Knowledge base is updated with new entries

Example Output

From a single video transcript, the skill might extract:

People:

  • Dario Amodei (CEO, Anthropic)
  • Sam Altman (CEO, OpenAI)

Trends:

  • AI agents in enterprise
  • Human-in-the-loop systems

Concepts:

  • Constitutional AI
  • RLHF (Reinforcement Learning from Human Feedback)

Example Usage

"Who are the key people in this video?"
"What trends are discussed?"
"Extract glossary terms from this article"

Tools Used

  • entity-extraction — NLP-based entity recognition
  • embeddings-api — Semantic similarity for deduplication