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Lost? Links to ATG websites below:
📚 Documentation (Home) • 🌐 Website • 🚀 Web App • ⚙️ Admin Console
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This Guy AI assistant implements a sophisticated multimodal document processing pipeline that transforms complex documents into intelligently indexed knowledge bases. The system achieves 95%+ accuracy in text extraction and supports 50+ languages with automatic detection.
One differentiator of This Guy is to be able to smartly handle images within documents, and be able to reuse images in its replies. Here is how the pipeline works:
Image processing and integration pipeline in ATG
To optimize the work and accuracy of This Guy it is essential to make your (future) documents as explicit as possible. Here are some tips to help your teams structure their documents so that they are more easily interpretable by AI tools like Mistral or others:
Clarity and precision: Ensure that the content of your documents is clear and precise. Avoid ambiguities and be as detailed as possible.
Consistent structure: Maintain a consistent structure between textual and visual information. Use headings and subheadings to organize the content and facilitate understanding.
Separation of elements: Clearly distinguish between different types of information. For example, separate text paragraphs from images or graphics.
Use of keywords: Integrate relevant keywords that help identify the content and context of the information presented.
Uniform formatting: Use uniform formatting for similar elements. For example, if you have multiple images, make sure they are all formatted in the same way.
Annotations and captions: Add annotations and captions to images and graphics to provide additional context and clarify their content.
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By following these tips, you will help This Guy better understand and process your documents, thereby improving the accuracy and efficiency of its work.
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ATG image processing pipeline integration
The ATG document integration system operates through a five-stage pipeline that seamlessly processes documents from initial upload to final knowledge indexing. This architecture follows enterprise-grade standards for scalability and reliability.
The system accepts multiple document formats including PDF, Word, PowerPoint, and many more. Documents are immediately validated and queued for processing with automatic format detection and metadata extraction.