Vyakyarth is a sentence-transformers-based model fine-tuned for Indic languages, capable of mapping text to a 768-dimensional dense vector space for semantic search, similarity, classification, and clustering tasks.
Vyakyarth is a multilingual sentence embedding model designed for Indic languages. Developed by Krutrim AI Labs, it is fine-tuned from stsb-xlm-r-multilingual, leveraging sentence-transformers to encode sentences and paragraphs into 768-dimensional embeddings. The model supports a wide range of NLP tasks, including semantic textual similarity, semantic search, paraphrase mining, text classification, and clustering. Built on XLM-RoBERTa, Vyakyarth ensures high-quality representations across multiple Indian languages, making it ideal for applications in search engines, recommendation systems, and multilingual NLP research.
Krutrim Community License Agreement Version 1.0
Ola Krutrim
Large Language Models
N.A.
Open
Sector Agnostic
28/02/25 07:00:46
0
Krutrim Community License Agreement Version 1.0
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.