nomic-embed-text-v2-moe is an open-source text embedding model developed by Nomic AI for semantic search and similarity tasks. It enables developers to generate vector representations of text for use in retrieval, clustering, and recommendation systems. The model is available for local and cloud deployment.
Nomic Embed Text V2 Moe sits in PulseGate's Embeddings & retrieval category. It focuses on generating high-quality text embeddings for semantic search, similarity, and retrieval applications. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web, the command line, embeddable surfaces, and API, and it can be self-hosted.
Nomic AI builds and maintains Nomic Embed Text V2 Moe, and it first shipped in 2025. Key capabilities include text embedding, semantic search, and sentence similarity.
Summary written by a language model from the project’s public pages.
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