Embeddings

Vector representations used for semantic search and retrieval.

Embeddings map text, images, or other data into vectors so semantic similarity can be measured numerically.

Practical Uses

• Retrieval-augmented generation
• Semantic search
• Clustering and recommendation

Design Considerations

• Dimensionality impacts storage and retrieval speed.
• Embedding model choice should match your content domain.
• Re-embedding strategy is needed when source data changes.