Text Embedding 3 Large

Text-embedding-3-large is a robust language model by OpenAI designed for generating high-dimensional text embeddings for a wide range of natural language processing (NLP) tasks including semantic search, text clustering, and classification.

~1.47s
~$0
 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/text-embedding-3-large"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "You are beautiful"
12}
13
14response = requests.post(url, headers=headers, json=data)
15
16if response.status_code == 200:
17    result = response.json()
18    print(json.dumps(result, indent=2))
19else:
20    print(f"Error: {response.status_code}")
21    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/text-embedding-3-large

Parameters

promptrequired
string

Prompt to render

Response Type

Returns: Text/JSON

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out