Embeddings

curl --location 'https://api-nebula.symbl.ai/v1/model/embed' \
--header 'ApiKey: <your_api_key>' \
--header 'Content-Type: application/json' \
--data '{
    "text": "Dan: Definitely, John. The first feature we'\''re introducing is our new AI-powered recommendation system. The system analyzes user behavior and preferences to suggest the most relevant products."
}'

import requests
import json

NEBULA_API_KEY="YOUR_API_KEY"  # Replace with your API key

url = "https://api-nebula.symbl.ai/v1/model/embed"

payload = json.dumps({
  "text": "Dan: Definitely, John. The first feature we're introducing is our new AI-powered recommendation system. The system analyzes user behavior and preferences to suggest the most relevant products."
})
headers = {
  'ApiKey': NEBULA_API_KEY,
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.json())

{
  "model": "<model name>", // Optional
  "text": "<input text of conversation, document, strings, etc.>"
}

{
    "model": "<model name>",
    "embedding": [
        <list of floating point numbers reprenting embedding>
    ]
}

{
  "detail": "<error message>"
}