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.
Gte Base En sits in PulseGate's Foundation models & chat category. 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. The product ships for the web and API.
Behind Gte Base En is Alibaba-NLP, and the product first shipped in 2024. Key capabilities include Sentence Embeddings, Semantic Search, and MTEB Benchmark.
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