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[GH-ISSUE #23658] feat: Ability to stop knowledge directory uploads and view the current status. #58700
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Originally created by @brumansniffer on GitHub (Apr 13, 2026).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/23658
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Problem Description
When uploading directory of files in knowledge, in my current use I have 1570 files, mind you they are markdown files, each file takes 70s to process, and after each file is processed i get pop-up with notification and how many remaining. But.. there is no way to stop this process.. im not willing to wait 32h for all of them to finish.. ill find a faster way to do it. So this was my gripe.
Desired Solution you'd like
Ability to see like a common donwloads/uploads window of status of upload to knowledge current file / of total files, and a button to stop the process if needed.
Alternatives Considered
No response
Additional Context
Some users like me didnt know it would take this long, when adding my knowledge, so this was frustrating.
@Classic298 commented on GitHub (Apr 13, 2026):
should be added here for now - https://github.com/open-webui/open-webui/issues/19394
if you want faster processing you should use faster embedding model and faster document extraction engine (tika)
@Classic298 commented on GitHub (Apr 13, 2026):
be aware, fast trades with quality
@brumansniffer commented on GitHub (Apr 15, 2026):
I dont know if its related but using the same llm model that i tried with open-webui, with anything-llm running vectordb = lancedb thingie, i got all my same thousands of files ingested in about 10min. but that UI also suffers the same problem with not being able to cancel the operation. Atleast it went faster. Embedding model was run on an external server in both cases.
How is this related to this post? The problem described there is different from what im asking.
What is lacking in the webUI is when you upload a lot of files through webUI there is no way to cancel that operation and it will start to embbed them files one by one, but you cant cancel the embedding process. Its not clear for a user when will the process finish, or if its going on, unless you monitor server logs or somehting.
@Classic298 commented on GitHub (Apr 15, 2026):
You said
and
thats how its related to the post
@Classic298 commented on GitHub (Apr 15, 2026):
and that issue and PR is relevant because it shows the progress
which is exactly what you described as wanted solution