ModelLLMsv1.0

mxbai-embed-large

by Mixedbread AI · open-source · Last verified 2026-03-17

Mixedbread AI's large embedding model achieving state-of-the-art open-source performance on MTEB. Optimized for retrieval tasks with AnglE loss training and efficient binary quantization support for production deployments.

https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1 ↗

C—Below Average

Adoption: CQuality: B+Freshness: C+Citations: CEngagement: F

Specifications

License: Apache 2.0
Pricing: open-source
Capabilities: embedding, semantic-search, binary-quantization, passage-retrieval, text-similarity
Integrations: huggingface, ollama, langchain, sentence-transformers
Use Cases: semantic-search, rag-retrieval, document-classification, text-clustering
API Available: Yes
Parameters: 335M
Context Window: 512 tokens
Modalities: text
Training Cutoff: Mid 2023
Tags: embedding, open-source, mixedbread, high-performance, retrieval
Added: 2026-03-17
Completeness: 90%

Index Score

43.7

Adoption

Quality

Freshness

Citations

Engagement

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