---
id: vector-search
title: Vector search
tag: vector-search
meta:
  description: Use SQL functions to calculate vector distances and search large content tables.
---

# Vector search

Vector search allows you to search through multi-modal content based on calculated embeddings. It is a popular approach to search when keyword matching is insufficient.

Tinybird can help you search largescale vector embeddings in real-time and apply real-time analytics principles to make vector search more performant.

## Tutorials

{% list-pages tag="vector-search" /%}

## Getting started

Learn how to build a content recommendation API using vector search in our step-by-step tutorial:

{% button
    href="/use-cases/vector-search/vector-search-recommendation"
    variant="ghost"
    children="Build a content recommendation API using vector search"
/%}