TNSA

January 2025

Embedding Model

NGen 3 15M Embed

NGen 3 15M Embed is a specialized embedding model designed for vector search and semantic similarity tasks, providing efficient text representation capabilities.

NGen 3 15M Embed

Overview

NGen 3 15M Embed is a specialized embedding model designed for vector search and semantic similarity tasks, providing efficient text representation capabilities.

Key Capabilities

  • Specialized embedding model
  • Vector search optimization
  • Semantic similarity analysis
  • Efficient text representation

Pricing

$0.01 per 1K tokens

TNSA platform

Build with TNSA models

Explore model families, snapshots, and developer tools for production AI systems.