> For the complete documentation index, see [llms.txt](https://docs.mindplug.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mindplug.io/api/store-pdf.md).

# Store PDF

### Prerequisites

Requires a user auth token. See the [API Auth](/api/store-pdf.md) section for PDFs

### Storing data - API

For now Mindplug handles the storing of text data only. You can store data given the following parameters: 

1. Database name: `db`
2. A collection name: `collection`
3. A file to store: `file`
4. Optional `metadata` which is any arbitrary object for the content
5. Optional: `chunkSize`
   1. Defaults to 1024. Represents the amount of characters stored per embedding. If you give content size of 1300 characters, this will make 2 embeddings of 1k and 300 characters respectively.
6. A parameter for `type` of document.

Mindplug uses recursive chunking to chunk the string content. Thus the `chunkSize` will vary slightly across different embeddings. 

For any project or collection that does not already exist, it will be auto created for the user without any additional work.

{% code lineNumbers="true" %}

```javascript
import mindplugFile from "@/src/mindplugAPI"; // base instance

async function storePDF(data) {
    const form = new FormData();
    form.append('db', 'walmart');
    form.append('collection', 'Office Supplies');
    form.append('type', 'pdf');
    form.append('file', data.file);
    form.append('metadata', JSON.stringify(data.metadata)); // optional
    form.append('chunksize', data.chunkSize.toString()); // optional
    return mindplugFile.post('/data/store/file', form)
        .then(res => res.data).catch(err => err.response.data);
 }

const file = [stored file object];
storePDF({ file });

```

{% endcode %}

An upload id and a list of stored vector IDs are returned for later use.

### Sample Response

```json
{
    "data": {
        "success": true,
        "vectorIds": [
            "8ad610a8-9dc8-4e3c-bae4-0e10146fd43a"
        ],
        "uploadId": "ea209649-8f38-40e0-9b84-0cdb1809db6c"
    }
}
```