An OpenAI text embedding model for multilingual semantic search, retrieval and similarity. Returns 3,072 coordinates by default and supports shorter vectors using the dimensions option.
An OpenAI text embedding model for multilingual semantic search, retrieval and similarity. Returns 3,072 coordinates by default and supports shorter vectors using the dimensions option.
How much does text-embedding-3-large cost?+
A per-token price has not been published for this tag. Check your Console for available access and current pricing.
What inputs and outputs does text-embedding-3-large support?+
Inputs: Text. Outputs: Embeddings. These capabilities apply to the selected model tag. Check the endpoint documentation for supported request formats.
What is the context length of text-embedding-3-large?+
This tag has a context window of 8,192 tokens. Context size and pricing thresholds are separate. Request limits can be lower for a particular deployment.
How do I use text-embedding-3-large with ShareAI?+
Create an API key in the ShareAI Console, choose a model tag, and send an authenticated request to the endpoint in Quick Start. Your key must have access to the chosen model. Keep your key on your server.
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