gte-base is part of the General Text Embeddings (GTE) family, designed to create high-quality vector representations of text for downstream tasks such as semantic search, clustering, and retrieval-augmented generation. It is hosted on Hugging Face and widely used by developers building AI-powered search and knowledge systems.
In the Embeddings & retrieval space, Gte Base takes a focused approach. It focuses on generating dense vector embeddings for text to power semantic search and retrieval systems. Gte Base is an open-source project aimed at AI developers and researchers. Gte Base is open source under the Open Source license. Gte Base is available on the web and API.
thenlper builds and maintains Gte Base. Among its 3 catalogued features are Text Embeddings, Semantic Search, and Retrieval Optimization.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do