Text Embedding 3 - Small is an Embeddings Model designed for generating high-quality vector representations of text.

It excels in producing compact and meaningful embeddings for various natural language processing tasks, offering improved performance over its predecessor while maintaining efficiency in terms of latency and storage.

Some other noteworthy features of Text Embedding 3 - Small include multilingual support and the ability to adjust embedding dimensions.

Metric	Value
Parameter Count	Unknown
Mixture of Experts	No
Context Length	Unknown
Multilingual	Yes
Quantized*	Unknown

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.