Files
RAGFlow's file management allows you to upload files individually or in bulk. You can then link an uploaded file to multiple target datasets. This guide showcases some basic usages of the file management feature.
Compared to uploading files directly to various datasets, uploading them to RAGFlow's file management and then linking them to different datasets is not an unnecessary step, particularly when you want to delete some parsed files or an entire dataset but retain the original files.
Create folder
RAGFlow's file management allows you to establish your file system with nested folder structures. To create a folder in the root directory of RAGFlow:
Each dataset in RAGFlow has a corresponding folder under the root/.knowledgebase directory. You are not allowed to create a subfolder within it.
Upload file
RAGFlow's file management supports file uploads from your local machine, allowing both individual and bulk uploads:
Preview file
RAGFlow's file management supports previewing files in the following formats:
- Documents (PDF, DOCS)
- Tables (XLSX)
- Pictures (JPEG, JPG, PNG, TIF, GIF)
Link file to datasets
RAGFlow's file management allows you to link an uploaded file to multiple datasets, creating a file reference in each target dataset. Therefore, deleting a file in your file management will AUTOMATICALLY REMOVE all related file references across the datasets.
You can link your file to one dataset or multiple datasets at one time:
Move file to a specific folder
Search files or folders
File Management only supports file name and folder name filtering in the current directory (files or folders in the child directory will not be retrieved).
Rename file or folder
RAGFlow's file management allows you to rename a file or folder:
Delete files or folders
RAGFlow's file management allows you to delete files or folders individually or in bulk.
To delete a file or folder:
To bulk delete files or folders:
- You are not allowed to delete the root/.knowledgebase folder.
- Deleting files that have been linked to datasets will AUTOMATICALLY REMOVE all associated file references across the datasets.
Download uploaded file
RAGFlow's file management allows you to download an uploaded file:
As of RAGFlow v0.20.5, bulk download is not supported, nor can you download an entire folder.