gte-base-en-v1.5 is an English text embedding model developed by Alibaba-NLP and hosted on Hugging Face. It generates dense vector representations optimized for semantic similarity, retrieval, and ranking tasks. The model is built on the sentence-transformers framework, supports Transformers.js, and is evaluated on the MTEB benchmark. It is freely available under Apache 2.0 for local or cloud inference by developers building search and RAG applications.
In the Embeddings & retrieval space, Gte Base En takes a focused approach. It focuses on converting text into high-quality vector embeddings for semantic search and retrieval without proprietary APIs. It is built as an open-source project for developers. Gte Base En is open source under the Open Source license. It ships for the web and API.
It is developed by Alibaba-NLP, and it first shipped in 2024. Among its 3 catalogued features are Sentence Embeddings, Semantic Search, and MTEB Benchmark.
Summary written by a language model from the project’s public pages.
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