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Model2vec

Lightning-fast Static Embeddings for RAG/Semantic Search. Fast State-of-the-Art Static Embeddings. We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB.

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  1. Model2vec-Rs

    github.com

    Fast Static Text Embeddings in Rust

    Hacker News60점

  2. Boomerang

    vectara.com

    a new embedding model for RAG and semantic search

    Hacker News18점

  3. Word2vec Algorithm in ~100sloc with NumPy

    github.com

    Here's a small demonstration of the fundamental aspects of the word-to-vec algorithm.

    Hacker News72점

  4. UForm v2

    github.com

    tiny CLIP-like embeddings in 21 languages and Graphcore API

    Hacker News16점

  5. 40M embeddings to find who knows what on HN

    blog.wilsonl.in

    Hacker News33점