Documentation Index
Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt
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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.Using the model
Installation:
pip install -qU voyageai==0.2.1
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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