A Vietnamese bi-encoder model designed for sentence similarity tasks using the sentence-transformers framework. It produces embeddings suitable for semantic search, clustering, and retrieval-augmented generation in Vietnamese. The model is part of the Bkai foundation model collection and is available for use with standard embedding libraries.
Vietnamese Bi Encoder is a Foundation models & chat product. It focuses on creating high-quality embeddings for Vietnamese text for retrieval and similarity tasks. Vietnamese Bi Encoder is an open-source project aimed at developers. The project is open source (MIT). Vietnamese Bi Encoder is available on the web and the command line, and it can be self-hosted.
Behind Vietnamese Bi Encoder is Bkai Foundation Models, and the product first shipped in 2020. The project is developed in the open on GitHub with 792 stars. Among its 3 catalogued features are Sentence Embeddings, Semantic Similarity, and Vietnamese Language.
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