> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chonkie.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# VoyageAIEmbeddings

> Embed text using VoyageAI embeddings

Embeddings are handled by the `VoyageAIEmbeddings` class, which is a wrapper around the VoyageAI API.

## Installation

Embeddings require the `voyageai`, `numpy`, and `tokenizers` libraries. See the [Installation Guide](/oss/installation) for more information.

```bash theme={"system"}
pip install "chonkie[voyageai]"
```

## Usage

```python theme={"system"}
from chonkie import VoyageAIEmbeddings

# Initialize VoyageAI embeddings
embeddings = VoyageAIEmbeddings(
	model="voyage-3-large",           # Optional: specify model
	api_key="YOUR_VOYAGE_API_KEY",    # Optional: or set VOYAGE_API_KEY env var
	output_dimension=1024,             # Optional: set output dimension
	batch_size=64                      # Optional: set batch size
)

# Embed a single text
vector = embeddings.embed("Your text here")

# Embed a batch of texts
vectors = embeddings.embed_batch(["Text 1", "Text 2"])
```

## Example

```python theme={"system"}
embeddings = VoyageAIEmbeddings()
vectors = embeddings.embed("your text here")
# or you can
vectors = embeddings.embed_batch(["text1", "text2"])
```