Nomic

Nomic builds open-source embedding models and the Atlas data visualization platform, addressing two connected problems in AI application development: producing high-quality text embeddings and understanding what's in large unstructured datasets. Nomic Embed is an open-source embedding model that produces competitive text embeddings for semantic search and RAG applications, available for free use with no API key on Hugging Face and via the Nomic API. The model supports both short queries and long documents with a context window up to 8,192 tokens, covering full-document embedding without chunking for shorter materials.

Atlas is Nomic's data intelligence platform: upload millions of text documents, embeddings, or structured records and Atlas renders them as interactive 2D maps where similar content clusters visually, enabling exploration of what topics exist in a dataset, where duplicates concentrate, and how different subsets relate to each other. This visualization capability is uniquely useful for understanding training datasets, audit of AI-generated content, topic analysis of large document collections, and quality control for RAG knowledge bases. The combination of open embedding models and visualization tools makes Nomic particularly valuable to teams that want to understand their data deeply before and after building AI applications on it.

The embedding API is available on a free tier; Atlas has team and enterprise pricing for large-scale deployments.