Core AI Technology
Embedding Models
- Definition
- Embedding Models are AI models that transform data such as text or images into high-dimensional vector representations that capture the semantic meaning and relationships between data points. These embeddings are used for semantic search, similarity analysis, and clustering.
- Category
- Core AI Technology
- Related terms
- Embedding
Deep Dive: Embedding Models
Embedding Models are AI models that transform data such as text or images into high-dimensional vector representations that capture the semantic meaning and relationships between data points. These embeddings are used for semantic search, similarity analysis, and clustering.
Business Value & ROI
Why it matters for 2026
Leverages embedding models technology to deliver 2-5x performance improvements in AI application throughput and accuracy.
We stay at the cutting edge of embedding models to give our clients first-mover advantage with the latest AI capabilities.
Production-Ready Guardrails