Nomic Embed v1

An open-source, 8192-context text embedding model that beats OpenAI on MTEB benchmarks using Matryoshka dimensionality.

Nomic Embed v1 delivers top-tier performance on the MTEB benchmark, outclassing OpenAI's text-embedding-3-small in retrieval accuracy. It handles long-form content via an 8192-token context window and supports Matryoshka embeddings for flexible vector sizes (64 to 768 dimensions). The model carries an Apache 2.0 license and provides full training data transparency. It is the go-to choice for developers building high-efficiency RAG systems and document search tools.

https://www.nomic.ai/blog/posts/nomic-embed-text-v1