Overview
Description
Nomic Embed v2 delivers accurate multilingual search across ~100 languages, making your RAG and vector search applications work globally. It matches the performance of models twice its size while cutting storage costs by 3x through flexible embedding dimensions. The bottom line: better search accuracy with lower infrastructure costs, all in one open-source model.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
No
REST API
No
Fine-tuning support
No
Quantization support
No
Docker available
No
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Setup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe Hardware Requirements
Works Well With