AI Model

Eude Tech Embed

High-quality semantic embeddings for enterprise search and retrieval. Optimized for accuracy, speed, and integration with vector databases.

Key Features

Dense Vector Representations

1024-dimensional embeddings

Optimized for semantic similarity

Consistent quality across domains

Batch & Streaming Modes

Process up to 1000 documents per batch

Real-time streaming for low latency

Automatic retry and error handling

Vector Database Integrations

Native adapters for popular vector DBs

Pinecone, Weaviate, Qdrant support

Custom connector framework

Optimized for Search

Fine-tuned for retrieval tasks

High recall and precision metrics

Evaluation toolkit included

API Example

POST /v1/embeddings

{
  "model": "eudetech-embed-1",
  "input": [
    "Quarterly results show revenue growth of 23%",
    "Operating expenses decreased by 8% year-over-year",
    "Cash flow from operations increased to $45M"
  ],
  "mode": "batch"
}

// Response
{
  "embeddings": [
    [0.023, -0.145, 0.892, ...], // 1024 dimensions
    [0.112, -0.034, 0.567, ...],
    [-0.089, 0.234, 0.123, ...]
  ],
  "model": "eudetech-embed-1",
  "usage": {
    "total_tokens": 42
  }
}

Ready to Get Started?

Start generating embeddings or contact our team for integration guidance.