Voyage AIモデルへのアクセス

import voyageai
# Initialize the client with custom settings
vo = voyageai.Client(
    api_key="<model-api-key>",  # Or use VOYAGE_API_KEY environment variable
    max_retries=3,              # Retry up to 3 times on rate limit errors
    timeout=30                  # Timeout after 30 seconds
)
# Generate embeddings
result = vo.embed(
    texts=["MongoDB is redefining what a database is in the AI era."],
    model="voyage-4-large"
)
print(f"Embedding dimension: {len(result.embeddings[0])}")
print(f"Total tokens used: {result.total_tokens}")

import { VoyageAIClient } from "voyageai";
// Initialize the client for the Embedding and Reranking API
const client = new VoyageAIClient({
  apiKey: process.env.VOYAGE_API_KEY,     // Model API key
  environment: "https://ai.mongodb.com/v1",
  maxRetries: 3,                          // Retry up to 3 times
  timeoutInSeconds: 30                    // Time out after 30 seconds
});
// Generate embeddings
const result = await client.embed({
  input: ["MongoDB is redefining what a database is in the AI era."],
  model: "voyage-4-large"
});
console.log(`Embedding dimension: ${result.data[0].embedding.length}`);
console.log(`Total tokens used: ${result.usage.totalTokens}`);