
Model2Vec
State-of-the-art static embeddings distilled from any sentence transformer.

State-of-the-art static embeddings distilled from any sentence transformer.

Multimodal semantic deduplication, outlier filtering, and representative sampling.

Flexible nearest neighbor search with multiple backends and evaluation.

Fast and accurate code search for agents.

Pre-train Model2Vec models on large corpora with efficient embedding distillation.

High-performance Rust inference for Model2Vec models with low-overhead deployment.