---
title: "Multi-vector search with XTR"
sidebarTitle: "Multi-vector XTR"
description: "Represent a document with many vectors, and speed retrieval with ConteXtualized Token Retrieval."
---

Covers [multi-vector search](/search/vector-search) enhanced by XTR
(ConteXtualized Token Retriever): representing complex data with several vectors
for more nuanced meaning, and using XTR to speed retrieval by prioritizing the
most important tokens.

For a comparison of retrieval strategies on a token-level benchmark, see
[Needle in a haystack](/tutorials/search/multivector-needle-in-a-haystack).

<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/examples/multivector_xtr/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/examples/multivector_xtr">
    Read the source.
  </Card>
</CardGroup>