AI Potluck
Back to Gap Map Model components / Embeddings & retrieval models

Arctic Embed

Snowflake
open weights / Overall score: 4.0(strong)

Arctic Embed is a family of retrieval embedding models sized from xs to l. The 2.0 releases build on the BGE-M3 RetroMAE backbone to handle multilingual retrieval at up to 8,192 tokens without giving up English quality. Matryoshka representation learning and quantization-aware training let a vector be truncated to 256 dimensions or compressed to 128 bytes per document. Snowflake develops and publishes the family.

The v1 xs checkpoint carries no license field on the Hub while every other family member and the family card declare Apache-2.0; the score records Apache-2.0 on the card's family-wide statement.

Openness

3 high confidence
3.0
weights
open(ungated checkpoints at xs, s, m, m-long, m-v1.5, l, m-v2.0 and l-v2.0)
data
closed(described only as roughly 400M pairs mixing public datasets with proprietary web-search data, then about 1M mined triplets
code
partial(the arctic-embed repository ships inference and embedding-compression notebooks, not a training pipeline)
license
Apache-2.0(OSI)

Arctic Embed ships open weights under Apache-2.0, but about half its pretraining mixture is proprietary web-search data that Snowflake describes without releasing. The public repository offers only inference and compression notebooks rather than a training pipeline, which keeps it at open weights rather than open source.

Adoption

4 high confidence
4.0

Adoption is measured as Hugging Face downloads summed across the eight checkpoints Arctic Embed ships, led by the l-v2.0 model. The s and m checkpoints add further volume without changing the reading.

Capability

4 high confidence
4.0

Arctic Embed is multilingual and long-context, and its published table puts it ahead of bge-m3 and gte-multilingual-base on English BEIR and CLEF while level with them on MIRACL. It sits a step below Harrier-OSS because its numbers are BEIR and CLEF rather than MMTEB, the benchmark this category treats as primary, and no successor to the 2.0 release has shipped since.

Verified 2026-09-11