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Documentation Index

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

The base-size text embedding model from the second generation of Voyage AI models. Access to models is through Python API. You must register for Voyage API keys to access.Voyage-02 is optimized for latency and quality and is part of the second-gen Voyage family. It includes a very reasonable context length of 4K tokens.

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Using the model

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Installation:


pip install -qU voyageai==0.2.1

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Creating Embeddings:


import voyageai
voyageai.api_key = "YOUR_VOYAGE_API_KEY"
model_id = "voyage-02-lite-instruct"

def embed(docs: list[str]) -> list[list[float]]:
    if len(docs) > 8:
        raise ValueError('List of documents cannot be longer than 8')
    doc_embeds = voyageai.get_embeddings(docs, model=model_id)
    return doc_embeds

doc_embeds = embed(docs)
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