mxbai-embed-large-v1 is an open-source model for generating vector embeddings from text and images. It is designed for AI developers and researchers who need high-quality embeddings for search, retrieval, and similarity applications.
Mxbai Embed Large sits in PulseGate's Foundation models & chat category. It focuses on enabling efficient generation of vector embeddings for text and images to support search, retrieval, and similarity tasks. Mxbai Embed Large is an open-source project aimed at AI developers and researchers. The project is open source (Open Source). The product ships for the web, embeddable surfaces, the command line, and API.
mixedbread-ai builds and maintains Mxbai Embed Large, and the product first shipped in 2024. Among its 5 catalogued features are text embedding, image embedding, and open weights.
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