granite-embedding

1. Get your API key

   Create a key in the ShareAI Console, then save it as an environment variable on your server.

   Create API key↗
   Environment variable

   export SHAREAI_API_KEY="your-api-key"

2. Choose your endpoint

   Send a POST request with your API key in the Authorization header.

   POSThttps://api.shareai.now/api/v1/embeddings

3. Make your first request

   The request below uses your selected tag. Run it on your server to keep your API key private.

   cURL

   curl --request POST 'https://api.shareai.now/api/v1/embeddings' \
     --header "Authorization: Bearer ${SHAREAI_API_KEY}" \
     --header 'Content-Type: application/json' \
     --data-raw '{
     "model": "ibm/granite-embedding:278m",
     "input": "Hello!"
   }'

   Python

   import json
   import os
   import urllib.request
   
   payload = json.loads("{\n  \"model\": \"ibm/granite-embedding:278m\",\n  \"input\": \"Hello!\"\n}")
   request = urllib.request.Request("https://api.shareai.now/api/v1/embeddings",
       data=json.dumps(payload).encode(),
       headers={
           "Authorization": f"Bearer {os.environ['SHAREAI_API_KEY']}",
           "Content-Type": "application/json",
       },
       method="POST",
   )
   with urllib.request.urlopen(request) as response:
       print(json.load(response))

   TypeScript

   const response = await fetch("https://api.shareai.now/api/v1/embeddings", {
     method: 'POST',
     headers: {
       Authorization: `Bearer ${process.env.SHAREAI_API_KEY}`,
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
       "model": "ibm/granite-embedding:278m",
       "input": "Hello!"
     }),
   });
   if (!response.ok) throw new Error(await response.text());
   console.log(await response.json());

Open a tag to see its specifications and API examples.