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.