Open-source text embedding models from Microsoft supporting 100+ languages. Features small, base, and large variants with weakly-supervised contrastive pre-training. This is an OSS model family released by Microsoft Research.
E5 (Embedding for Everything Everywhere Everytime) is a family of open-source text embedding models from Microsoft Research released in mid-2023. Models are available in three sizes and support 100+ languages with strong performance on semantic search benchmarks.
Available through:
Full information available at: https://github.com/microsoft/unilm/tree/master/e5
Models available on Hugging Face under the intfloat namespace:
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Free and open-source. No licensing costs for use, modification, or deployment.