Azure OpenAI Embeddor
Enterprise Azure EmbeddingsOverview
Generate embeddings using Azure OpenAI's enterprise-grade models. Features secure Azure integration, flexible deployment options, and version control through API versioning.

Available Models
- text-embedding-ada-002
- text-embedding-3-small
- text-embedding-3-large
Key Features
- Azure security integration
- API version control
- Custom deployments
- Flexible dimensions
Configuration
Required Parameters
model
Azure OpenAI model nameazureEndpoint
Azure endpoint URLdeploymentName
Azure deployment nameapiKey
Azure API key
Optional Parameters
apiVersion
Default: 2023-05-15dimensions
Output vector dimensions
Example Usage
// Basic configuration const embedder = new AzureOpenAIEmbeddor({ model: "text-embedding-ada-002", azureEndpoint: "https://your-resource.openai.azure.com", deploymentName: "your-deployment", apiKey: "your-api-key" }); // Advanced configuration const advancedEmbedder = new AzureOpenAIEmbeddor({ model: "text-embedding-3-large", azureEndpoint: "https://your-resource.openai.azure.com", deploymentName: "your-deployment", apiKey: "your-api-key", apiVersion: "2024-02-15", dimensions: 1536 }); // Generate embeddings const result = await embedder.embed({ input: "Your text to embed" }); // Batch processing const batchResult = await embedder.embedBatch({ inputs: [ "First text to embed", "Second text to embed" ] });
Best Practices
- Use environment variables for keys
- Implement proper error handling
- Monitor API usage
- Cache frequent embeddings
Azure Tips
- Use managed identities when possible
- Set up monitoring alerts
- Configure appropriate quotas
Response Format
{ "embeddings": { "vectors": number[][], "dimensions": number, "model": string }, "usage": { "prompt_tokens": number, "total_tokens": number }, "metadata": { "model_version": string, "api_version": string, "deployment": string, "processing_time": number }, "status": { "success": boolean, "error": string | null } }