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lancedb/docs/web/tutorials/agents/matryoshka-embeddings.mdx
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---
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>