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.
In the Foundation models & chat space, Mxbai Embed Large takes a focused approach. It focuses on enabling efficient generation of vector embeddings for text and images to support search, retrieval, and similarity tasks. It is built as an open-source project for AI developers and researchers. The project is open source (Open Source). It ships for the web, embeddable surfaces, the command line, and API.
mixedbread-ai builds and maintains Mxbai Embed Large, and it first shipped in 2024. Key capabilities include text embedding, image embedding, and open weights.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do