M3E (Moka Massive Mixed Embedding) is an open-source text embedding model trained on over 22 million Chinese sentence pairs. It produces high-quality vector representations for semantic similarity, retrieval, and classification tasks. The base model supports both Chinese and English and is compatible with the sentence-transformers library.
M3e Base is an Other AI project. It focuses on generating high-quality embeddings for Chinese and English text retrieval and semantic search. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind M3e Base is Moka AI, and it first shipped in 2023. The project is developed in the open on GitHub with 876 stars. Among its 3 catalogued features are sentence embeddings, semantic similarity, and MTEB benchmark.
Summary written by a language model from the project’s public pages.
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