> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vectorify.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Items

> An item is a row in your relational database

The `Items` page shows all the data you've upserted to your Vectorify project. Think of items as individual pieces of information that power your AI assistant's knowledge base.

<img src="https://mintcdn.com/vectorify/b403ba0ZHjwv7WxB/images/vectorify-items-2025-07-06.png?fit=max&auto=format&n=b403ba0ZHjwv7WxB&q=85&s=904362422b0387b2f4f747ee90550ac2" alt="Vectorify Items 2025 07 06 Pn" width="1643" height="937" data-path="images/vectorify-items-2025-07-06.png" />

## What you'll see

When you navigate to the `Items` page, you'll find a clean table displaying your data with four main columns:

* **Collection** - Which data group does this item belong to
* **Item ID** - The ID of the row in your database
* **Tenant** - Shows which organisation owns the data (useful for multi-tenant setups)
* **Upserted** - When this data was last added to or updated

## How items connect to other features

Items are the foundation of your Vectorify experience. They connect to several other parts of the system:

* **Collections** - Items are organised into logical groups
* **Projects** - All items belong to your specific project
* **Upserts** - Items are created through data upload operations
* **Chat** - When you ask questions, the AI searches through these items to find relevant answers

## Accessing your items

You can view your items in two ways:

1. **Web Interface** - Navigate using the sidebar menu
2. **API Access** - Programmatically retrieve items using REST endpoints

## Notes

If you haven't upserted any items, you'll see an empty state message encouraging you to create your first upsert with items.
