Smabbler
  • Smabbler - general info
  • API RAG
    • Smabbler's API RAG
    • Build RAG model in 3 steps
    • 🔥Beta testing
    • Video tutorials
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      • via LlamaParse
      • via Unstructured.io
      • via Open-Parse
  • API
    • API guide
    • Typical API use
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      • Python
  • SMABBLER PORTAL
    • Portal overview
      • Account & API access management
      • Files
      • Demo
      • API
    • Account & Access
    • Files tab
      • Manage files
      • Manage models
    • Demo tab
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    • Glossary
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On this page
  • Upload
  • File limits
  • Supported file formats
  • Automatic file conversion
  • Analyze
  • Build graph model
  • File statuses
  • File actions
  1. SMABBLER PORTAL
  2. Files tab

Manage files

PreviousFiles tabNextManage models

Upload

You can upload new documents by clicking the Upload button and selecting files from your local system.

File limits

  • Maximum file size: 100 MB

  • Maximum text content: 2000000 characters

Supported file formats

  • Direct upload: TXT, CSV

  • Other formats: BMP, DOC, DOCX, EML, EPUB, HEIC, HTML, JPEG, PNG, MD, MSG, ODT, ORG, P7S, PDF, PNG, PPT, PPTX, RST, RTF, TIFF, TSV, XLS, XLSX, XML

For unsupported formats, convert them to TXT or CSV using document processing tools before uploading.

Automatic file conversion

We do not store any API credentials or converted files.

Analyze

After uploading, select the file(s) you want to analyze and click on the Analyze button. For the CSV file, a configuration window will appear with two steps:

  1. Select ID column, which contains unique record identifiers.

  2. Select the text column, which contains the content to be analyzed. The text content cannot exceed 20,100 characters.

Build graph model

Once your files are analyzed, you can build your RAG model.

  1. Choose one or more analyzed files.

  2. Click Build graph model to proceed.

  3. Enter a model name in the dialog box and click Create.

File statuses

Each file has a Status column to indicate processing progress:

  • Uploaded - the file is added but not analyzed yet.

  • Analyzed - the file has been processed and is ready to be used in RAG model creation.

File actions

Each file entry includes a three-dot menu (...) with additional options:

  • Analyze - re-runs analysis if needed (currently this option is disabled for already analyzed files).

  • Details - displays file metadata such as creation and analysis date, file size and content preview.

  • Delete - permanently removes the file.

  • Edit Tags - here you can assign or create tags to make file filtering easier (tags appear in the Tags column).

Smabbler Portal is integrated with for automatic document processing. If you upload a file that is not in TXT or CSV format, a pop-up window will appear where you can enter your Unstructured IO API key and URL. The system will then convert your file via API before processing.

Your model is now ready for activation in the tab.

Unstructured IO
Manage models