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 sits in PulseGate's Embeddings & retrieval category. It focuses on creating high-quality embeddings for Vietnamese text for retrieval and similarity tasks. It is built as an open-source project for 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.
It is developed by Bkai Foundation Models, and it first shipped in 2020. The project is developed in the open on GitHub with 792 stars. Key capabilities include Sentence Embeddings, Semantic Similarity, and Vietnamese Language.
Summary written by a language model from the project’s public pages.
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