Agents

Embedding

1 min read

What It Means

A dense vector representation of text that captures semantic meaning, enabling similarity comparisons.

Embeddings convert text to numerical vectors where similar meanings are close together in vector space.

Uses

  • Semantic search
  • Document clustering
  • Retrieval augmentation
  • Anomaly detection

Models

  • OpenAI text-embedding
  • Cohere embed
  • Sentence transformers
  • Domain-specific models
agentsvectorsretrieval