# Find nearby vectors — Cloudflare Vectorize

Botize method — `cloudflare_vectorize.query` (action).

Finds vectors closest to a given vector in an index.

This is an action: it runs as a step of a task. Several can be chained.

## Fields you set

The field's internal name, its type and the values it accepts. These fields accept `{{...}}` tags from earlier steps.

- `vector_url` *(string)* — Vector URL
- `index` *(string)* — Database Index Name
- `top_k` *(string, one of: "5" = 5; "10" = 10; "20" = 20)* — Number of nearest vectors to find

It also accepts repeatable field groups, with these prefixes: `filter_counter_*`, `filter_key_*`, `filter_operator_*`, `filter_value_*`. These are composite components (buttons, filters, keyboards); the trailing number is set by the user as they are added.

## Output variables

Data this step makes available. Reference them in later steps with the double-brace tag.

- `{{count}}` *(int)* — Count
- `{{matches}}` *(array)* — Matches

## Account

Needs a connected Cloudflare Vectorize account in Botize: https://botize.com/en/app/cloudflare_vectorize/authenticate

## This app

Every trigger and action for Cloudflare Vectorize: https://botize.com/en/app/cloudflare_vectorize.md

## How to build this

An AI assistant (Claude, ChatGPT, Cursor…) can create and edit these tasks in the user's account through the Botize MCP connector, included in every plan:

    https://webhook.botize.es/mcp

- Connection guide: https://botize.com/en/mcp
- Agent map: https://botize.com/llms.txt
- New account: https://botize.com/en/join (500 free operations, no card)

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Machine-readable summary for AI assistants. Human version: https://botize.com/en/method/cloudflare_vectorize/query