NomicAI launched its open source embedding model NomicEmbed and surpassed OpenAI's Ada-002 and text-embedding-3-small models in benchmark tests. NomicEmbed performs well in processing both short and long texts, and provides a complete replicable and auditable model for users to verify its reliability. The open source nature of this model and the free use of the Nomic Atlas Embedding API lower the user threshold and can also meet enterprise-level application needs, demonstrating its potential and value in practical applications.
NomicAI’s latest open source embedding model NomicEmbed was officially unveiled. This model defeated OpenAI’s Ada-002 and text-embedding-3-small models. Nomic Embed performs well on short and long essay tasks and provides a complete replicable, auditable model. Users can use the model for free through the Nomic Atlas Embedding API, which is also suitable for enterprise-level applications.NomicEmbed's open source and high performance make it a highly competitive embedding model, providing users with a more convenient and efficient text processing solution, while also promoting the progress of the open source community in the field of AI models. Its free API usage also lowers the technology application threshold, which is good news for individuals and enterprises who want to explore and apply large-scale language models.