---
title: "Matryoshka embeddings"
sidebarTitle: "Matryoshka Embeddings"
description: "Nested, variable-size embeddings with LanceDB and LlamaIndex."
---

A RAG pipeline built on Matryoshka embeddings with LlamaIndex. The embeddings
nest, so one model serves several dimensionalities -- store the full vector and
retrieve with a truncated one when the cheaper comparison is good enough.

<Note>
This example is a runnable notebook in the
[vectordb-recipes](https://github.com/lancedb/vectordb-recipes) repository rather than a page here.
</Note>

<CardGroup cols={2}>
  <Card title="Open in Colab" icon="google" href="https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/RAG-with_MatryoshkaEmbed-Llamaindex/main.ipynb">
    Run it end to end in the browser.
  </Card>
  <Card title="View on GitHub" icon="github" href="https://github.com/lancedb/vectordb-recipes/tree/main/tutorials/RAG-with_MatryoshkaEmbed-Llamaindex">
    Read the source.
  </Card>
</CardGroup>