Nomic Embed

Nomic Embed is Nomic AI's family of open-source embedding models — notable for being among the first fully reproducible open-source embedders, with training code, training data, and model weights all released. The family includes nomic-embed-text-v1 (released February 2024), nomic-embed-text-v1.5 (with Matryoshka Representation Learning for variable-dimension outputs), and the multimodal nomic-embed-vision-v1.5 model. Performance on MTEB and similar benchmarks places Nomic Embed competitive with commercial APIs while being fully transparent about training methodology. Matryoshka embeddings let applications use truncated vectors (e.g., 256 dimensions from a 768-dimensional model) for storage and latency savings with controlled quality degradation. Available on Hugging Face under Apache 2.0 license. Real-world deployments include open-source RAG applications, academic research, and any deployment requiring full transparency about embedding-model provenance. Nomic also offers Atlas — a tool for visualizing and exploring embeddings at scale. AI governance, AI compliance, and AI risk management programs deploy Nomic Embed for transparency-required retrieval supporting responsible AI through fully reproducible embedding pipelines in enterprise AI environments.

Centralpoint Routes to Nomic Embed for Transparent Retrieval: Oxcyon's Centralpoint AI Governance Platform powers retrieval with Nomic Embed alongside OpenAI, Cohere, Voyage, BGE, and other embedding models. Centralpoint meters every call, keeps prompts and skills on-prem, and embeds reproducible chatbots into your portals via one line of JavaScript.


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