curl https://gateway.obiguard.ai/v1/embeddings \ -H "x-obiguard-api-key: $OBIGUARD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": "The food was delicious and the waiter...", "model": "text-embedding-ada-002", "encoding_format": "float" }'
from obiguard import Obiguard
client = Obiguard(
obiguard_api_key="ak***", # Your Obiguard access key
)
client.embeddings.create(
model="text-embedding-ada-002",
input="The food was delicious and the waiter...",
encoding_format="float"
)
const options = {
method: 'POST',
headers: {'x-obiguard-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
input: 'The quick brown fox jumped over the lazy dog',
model: 'text-embedding-3-small',
encoding_format: 'float',
dimensions: 2,
user: 'user-1234'
})
};
fetch('https://gateway.obiguard.ai/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
curl https://gateway.obiguard.ai/v1/embeddings \ -H "x-obiguard-api-key: $OBIGUARD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": "The food was delicious and the waiter...", "model": "text-embedding-ada-002", "encoding_format": "float" }'
from obiguard import Obiguard
client = Obiguard(
obiguard_api_key="ak***", # Your Obiguard access key
)
client.embeddings.create(
model="text-embedding-ada-002",
input="The food was delicious and the waiter...",
encoding_format="float"
)
const options = {
method: 'POST',
headers: {'x-obiguard-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
input: 'The quick brown fox jumped over the lazy dog',
model: 'text-embedding-3-small',
encoding_format: 'float',
dimensions: 2,
user: 'user-1234'
})
};
fetch('https://gateway.obiguard.ai/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for text-embedding-ada-002), cannot be an empty string, and any array must be 2048 dimensions or less. Example Python code for counting tokens.
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