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

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Installation

Embeddings require the voyageai, numpy, and tokenizers libraries. See the Installation Guide for more information. 
pip install "chonkie[voyageai]"

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Usage

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"])

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Example

embeddings = VoyageAIEmbeddings()
vectors = embeddings.embed("your text here")
# or you can
vectors = embeddings.embed_batch(["text1", "text2"])
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