Embeddings are numerical representations of text that capture semantic meaning — similar texts have similar embeddings.

Use Cases

• Semantic search — find documents by meaning, not just keywords
• Clustering — group similar content automatically
• Recommendation systems
• Anomaly detection

With Claude

Claude doesn't generate embeddings directly, but works seamlessly with embedding models (like Voyage AI, which Anthropic recommends) in RAG pipelines.

Reference:

Embeddings with Claude

https://docs.anthropic.com/en/docs/build-with-claude/embeddings