GigaEmbeddings: Efficient Russian Language Embedding Model

By Kolodin Egor, Daria Khomich, Nikita Savushkin, A. Ianina, Fyodor Minkin. 2025

Subfields: Natural Language Processing, Representation & Self-Supervised Learning

Citations in the corpus

• Giga-Embeddings: Mixture-of-Experts Encoders for High-Throughput Text Embeddings (2026, unknown): “The instruction templates follow the earlier Giga-Embeddings recipe (Kolodin et al., 2025) and distinguish asymmetric retrieval inputs from symmetric semantic-similarity inputs.”