AI Agents for Knowledge Base Construction



 AI agents are increasingly used to autonomously build or enrich knowledge bases from unstructured data—like scanning documents, extracting entities, and linking concepts.

This requires:

  • NER (Named Entity Recognition)

  • Relation extraction models

  • Ontology alignment

These agents are useful in legal tech, academic research, and enterprise data management. Learn how extraction-based workflows are built with AI agents.

Add a human-in-the-loop review stage for high-stakes knowledge extraction—it boosts accuracy dramatically.

#KnowledgeGraphs #InformationExtraction #LLMtools #AIforData #AIagents

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