How to batch upload files to the AI knowledge system
Batch uploading files to an AI knowledge system is the process of simultaneously ingesting multiple files, such as documents, spreadsheets, or presentations, into the system's repository. This feature is typically supported to efficiently build a large knowledge base.
Key requirements include ensuring files are in a supported format (commonly PDF, DOCX, TXT, PPTX) and structure. Most systems accept bulk uploads through a dedicated interface, either by selecting multiple files in a browser or providing a compressed archive (e.g., ZIP file). Proper file naming, accurate source tagging if applicable, and awareness of file size limitations per batch are important. The system will typically process the files sequentially after upload.
To implement batch upload, navigate to the system's file management or knowledge ingestion section. Select the "Batch Upload" option, choose all relevant files or upload a ZIP archive, and initiate the process. Verify successful ingestion through system notifications or processing queues. This method drastically reduces the time needed for knowledge base population compared to single-file uploads, enabling rapid scaling of the AI's accessible information.
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