A base-sized reranker model trained to evaluate and reorder candidate passages for relevance. It supports many languages and is designed for use in retrieval-augmented generation and search systems. The model uses the sentence-transformers library and is hosted publicly on Hugging Face.
Gte Multilingual Reranker Base sits in PulseGate's Foundation models & chat category. It focuses on re-ranking retrieved documents to improve relevance in multilingual search and RAG pipelines. Gte Multilingual Reranker Base is an open-source project aimed at developers. Gte Multilingual Reranker Base is open source under the Open Source license. It runs on API.
It is developed by Alibaba-NLP, and it first shipped in 2024.
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