Knowledge

The Knowledge section provides documentation about Rhesis’s core concepts and methodologies for AI testing and evaluation.

What are Sources?

Sources are content that you add to Rhesis to provide context and domain knowledge for AI testing. They serve as the foundation for generating relevant, domain-specific test cases.

Source Types

Rhesis currently supports:

• Document: Uploaded files (PDF, Word, Excel, PowerPoint, text files, etc.)

Supported File Formats

When adding documents, Rhesis supports a wide range of file formats:

Office Documents:

• .docx - Microsoft Word documents
• .pptx - Microsoft PowerPoint presentations
• .xlsx - Microsoft Excel spreadsheets

Documents:

• .pdf - PDF files
• .txt - Plain text files
• .csv - Comma-separated values
• .json - JSON data files
• .xml - XML documents
• .html, .htm - HTML web pages

Archives:

• .zip - Compressed archives (contents are extracted)

E-books:

• .epub - Electronic book format

How Sources Work

Adding and Storage

When you add a source:

1. Content Storage: The content is securely stored in your organization’s storage
2. Content Extraction: Text content is automatically extracted using Markitdown 
3. Metadata Creation: Source information (type, size, date added) is stored
4. Source Record: A source record is created with the extracted content and metadata

You can then view details, browse extracted content, download the original file, edit metadata (title, description, tags), and add comments.

Using Sources for Test Generation

Current Capabilities

Sources are currently used in the Knowledge section to:

• Store Domain Knowledge: Add content that contains domain-specific information
• Extract Content: Automatically extract and view text content from sources
• Organize Information: Categorize and tag sources for easy management