> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://help.getzep.com/v2/sdk-reference/deprecated/document/list-collections/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://help.getzep.com/_mcp/server.

# Gets a list of DocumentCollections

GET https://api.getzep.com/api/v2/collections

Returns a list of all DocumentCollections.

Reference: https://help.getzep.com/v2/sdk-reference/deprecated/document/list-collections

## Response

### 200

OK

- `list of list of apidata.DocumentCollection`

## Errors

### 401 Unauthorized Error

Unauthorized

- `message` (string, optional)

### 500 Internal Server Error

Internal Server Error

- `message` (string, optional)

## Types

### apidata.DocumentCollection

- `created_at` (string, optional)
- `description` (string, optional)
- `document_count` (integer, optional)
- `document_embedded_count` (integer, optional)
- `embedding_dimensions` (integer, optional)
- `embedding_model_name` (string, optional)
- `is_auto_embedded` (boolean, optional)
- `is_indexed` (boolean, optional)
- `is_normalized` (boolean, optional)
- `metadata` (map from string to any, optional)
- `name` (string, optional)
- `updated_at` (string, optional)
- `uuid` (string, optional)

## Examples

**Request**

```json
{}
```

**Response**

```json
[
  [
    {
      "created_at": "2024-05-20T10:15:30Z",
      "description": "Collection of technical documentation for the Zep Cloud API.",
      "document_count": 42,
      "document_embedded_count": 40,
      "embedding_dimensions": 768,
      "embedding_model_name": "text-embedding-ada-002",
      "is_auto_embedded": true,
      "is_indexed": true,
      "is_normalized": false,
      "metadata": {
        "owner": "engineering-team",
        "project": "zep-cloud-api"
      },
      "name": "Zep Cloud API Docs",
      "updated_at": "2024-06-01T08:45:00Z",
      "uuid": "3fa85f64-5717-4562-b3fc-2c963f66afa6"
    }
  ]
]
```

> Zep unifies business data, documents, and conversations into shared, governed context that agents can retrieve for their tasks.