Nomic AI announced the launch of its first open source embedding model Nomic Embed, a breakthrough that surpasses OpenAI's Ada-002 and text-embeding-3-small in performance. Nomic Embed provides efficient solutions for various natural language processing applications with its small parameter size and fast training speed. More importantly, the open source, reproducible, and auditable features of this model bring greater transparency and credibility to the AI community, which will greatly promote further development and innovation in this field. The link to the paper has been provided, and you are welcome to view the detailed technical report.
Nomic AI announced the launch of Nomic Embed, the first open source, reproducible, and auditable embedding model, beating OpenAI’s Ada-002 and text-embeding-3-small. The model has small parameters and fast training speed, making it suitable for various NLP applications. Detailed information can be found in [paper](https://static.nomic.ai/reports/2024_Nomic_Embed_Text_Technical_Report.pdf).The open source nature of Nomic Embed enables more developers to participate in model improvement and application, promoting the advancement of NLP technology. Its reproducibility and auditability ensure the reliability and transparency of research results, which is crucial in today's AI development. This move by Nomic AI has made a positive contribution to building a more open and trusting AI ecosystem.