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[GH-ISSUE #11333] issue: cannot reshape array of size 995 into shape (92,696,newaxis) #54858
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Originally created by @henry19801109 on GitHub (Mar 7, 2025).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/11333
Check Existing Issues
Installation Method
Git Clone
Open WebUI Version
v0.5.20
Ollama Version (if applicable)
v0.5.12
Operating System
windows
Browser (if applicable)
No response
Confirmation
README.md.Expected Behavior
File "D:\python\Lib\threading.py", line 1002, in _bootstrap
self._bootstrap_inner()
│ └ <function Thread._bootstrap_inner at 0x00000207EBF81E40>
└ <WorkerThread(AnyIO worker thread, started 27796)>
File "D:\python\Lib\threading.py", line 1045, in _bootstrap_inner
self.run()
│ └ <function WorkerThread.run at 0x000002079A575C60>
└ <WorkerThread(AnyIO worker thread, started 27796)>
File "D:\AI\openwebuiVenv\Lib\site-packages\anyio_backends_asyncio.py", line 962, in run
result = context.run(func, *args)
│ │ │ └ ()
│ │ └ functools.partial(<function upload_file at 0x0000020793CB9BC0>, user=UserModel(id='c4df9b5a-cffa-4751-a019-de8e33d581bb', nam...
│ └ <method 'run' of '_contextvars.Context' objects>
└ <_contextvars.Context object at 0x000002079A5FBE00>
Actual Behavior
File "D:\python\Lib\threading.py", line 1002, in _bootstrap
self._bootstrap_inner()
│ └ <function Thread._bootstrap_inner at 0x00000207EBF81E40>
└ <WorkerThread(AnyIO worker thread, started 27796)>
File "D:\python\Lib\threading.py", line 1045, in _bootstrap_inner
self.run()
│ └ <function WorkerThread.run at 0x000002079A575C60>
└ <WorkerThread(AnyIO worker thread, started 27796)>
File "D:\AI\openwebuiVenv\Lib\site-packages\anyio_backends_asyncio.py", line 962, in run
result = context.run(func, *args)
│ │ │ └ ()
│ │ └ functools.partial(<function upload_file at 0x0000020793CB9BC0>, user=UserModel(id='c4df9b5a-cffa-4751-a019-de8e33d581bb', nam...
│ └ <method 'run' of '_contextvars.Context' objects>
└ <_contextvars.Context object at 0x000002079A5FBE00>
Steps to Reproduce
Logs & Screenshots
Additional Information
@tjbck commented on GitHub (Mar 7, 2025):
You must reset your vector db after updating your embedding model.