A compact OpenAI text embedding model for semantic search, retrieval and similarity. Returns 1,536 coordinates by default and supports shorter vectors using the dimensions option.
A compact OpenAI text embedding model for semantic search, retrieval and similarity. Returns 1,536 coordinates by default and supports shorter vectors using the dimensions option.
How much does text-embedding-3-small 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-small 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-small?+
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-small 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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