All glossary terms

LLM & AI

PLT / DEFINITION

Embeddings

Numerical representations that help systems compare the meaning of content.

Why it matters

Embeddings are useful infrastructure, not a complete search strategy. The quality of the source content, metadata, filters, and retrieval evaluation still determines the user experience.

Use it well

  • Keep metadata and access controls alongside vectors.
  • Test retrieval with representative user questions.
  • Re-index when content ownership or structure changes.

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