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4 changes: 2 additions & 2 deletions site/guides/matryoshka.md
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# Matryoshka (Adaptive-Length) Embeddings

Matryoshka embeddings are a new class of embedding models introduced in the
TODO-YYY paper [_TODO title_](https://arxiv.org/abs/2205.13147). They allow one
26 May 2022 paper titled [Matryoshka Representation Learning](https://arxiv.org/abs/2205.13147). They allow one
to truncate excess dimensions in large vector, without sacrificing much quality.

Let's say your embedding model generate 1024-dimensional vectors. If you have 1
Expand All @@ -16,7 +16,7 @@ Matryoshka embeddings, on the other hand, _can_ be truncated, without losing muc
quality. Using [`mixedbread.ai`](#TODO) `mxbai-embed-large-v1` model, they claim
that

They are called "Matryoshka" embeddings because ... TODO
They are called "Matryoshka" embeddings after the "Matryoshka dolls", also known as "Russian nesting dolls", which are a set of wooden dolls of decreasing size that are placed inside one another. In a similar way, Matryoshka embedding can store more important information in earlier dimensions, and less important information in later dimensions. See more about Matryoshka embeddings at [Hugging Face](https://huggingface.co/blog/matryoshka)

## Matryoshka Embeddings with `sqlite-vec`

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