Embeddings Modality

The Embeddings modality is the output type for vector representations. You typically work with the text domain and call celeste.text.embed(...) to get embeddings.

Operations

Operation	Description
`embed`	Convert text into a vector embedding.

Quick Start

import celeste

# Generate embedding (domain: text → modality: embeddings)
response = await celeste.text.embed(
    model="text-embedding-3-large",
    text="The quick brown fox jumps over the lazy dog",
)

# Access the vector
vector = response.content
print(f"Vector length: {len(vector)}")

Batch Processing

You can embed multiple texts in a single request for efficiency.

response = await celeste.text.embed(
    model="text-embedding-3-large",
    text=[
        "First document",
        "Second document",
        "Third document"
    ]
)

for vector in response.content:
    print(vector[:5])  # Print first 5 dimensions

Sync Usage

For scripts or notebooks where async is not needed:

response = celeste.text.sync.embed(
    model="text-embedding-3-large",
    text="Hello world",
)
print(response.content)

Providers

Supported providers for Embeddings:

OpenAI (text-embedding-3-small, text-embedding-3-large, etc.)
Google (Gecko)
Cohere (embed-english-v3.0, etc.)