Azure AI Search API
Azure AI Search API
AI-powered cloud search with cognitive skills, vector search, and semantic ranking.
Quick Facts
| Field | Value |
|---|---|
| Provider | Microsoft Azure |
| Category | Search APIs |
| Website | https://azure.microsoft.com |
| Authentication | API Key |
| Pricing Model | usage-based |
| Free Tier | Limited free credits for new users |
| Rate Limit | 100 req/min (varies by plan) |
Overview
Azure AI Search API is a search apis provided by Microsoft Azure. AI-powered cloud search with cognitive skills, vector search, and semantic ranking. This API is designed to help developers integrate search capabilities into their applications with minimal setup and maximum reliability.
The API supports API Key authentication, ensuring secure access to all endpoints. With a usage-based pricing model, Microsoft Azure offers flexible options for projects of any size, from prototypes to enterprise deployments.
Microsoft Azure maintains comprehensive documentation, SDKs for popular programming languages, and active community support. The API is built on REST principles, returning JSON responses with standard HTTP status codes, making it straightforward to integrate into existing workflows.
Authentication
This API uses API Key authentication. Send your API key in the request header or as a query parameter. The exact method depends on the API specification.
Always store your credentials securely using environment variables or a secrets manager. Never commit API keys to version control or expose them in client-side code.
Code Samples
Python
import requests
import os
API_KEY = os.environ.get("API_KEY", "YOUR_API_KEY")
BASE_URL = "https://management.azure.com"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
response = requests.get(f"{BASE_URL}/v1/resources", headers=headers)
print(response.status_code)
print(response.json())
JavaScript
const API_KEY = process.env.API_KEY || 'YOUR_API_KEY';
const BASE_URL = 'https://management.azure.com';
const response = await fetch(`${BASE_URL}/v1/resources`, {
headers: {
'Authorization': `Bearer ${API_KEY}`,
'Content-Type': 'application/json'
}
});
const data = await response.json();
console.log(data);
cURL
curl -H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
https://management.azure.com/v1/resources
Go
package main
import (
"net/http"
"fmt"
"io"
"os"
)
func main() {
apiKey := os.Getenv("API_KEY")
if apiKey == "" {
apiKey = "YOUR_API_KEY"
}
req, _ := http.NewRequest("GET", "https://management.azure.com/v1/resources", nil)
req.Header.Set("Authorization", "Bearer " + apiKey)
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Pricing
The pricing model is usage-based. Pay only for what you use, with pricing based on API calls, tokens, or compute time. Visit the provider’s pricing page at https://azure.microsoft.com for current rates and detailed pricing information.
Use Cases
- Integration: Connect Microsoft Azure services to your application for seamless search functionality.
- Automation: Automate search workflows and reduce manual operations.
- Scaling: Handle growing search demands with Microsoft Azure’s robust infrastructure.