[GH-ISSUE #15742] feat: hallucination detection #33183

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opened 2026-04-25 07:05:43 -05:00 by GiteaMirror · 2 comments
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Originally created by @thistleknot on GitHub (Jul 15, 2025).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/15742

Check Existing Issues

  • I have searched the existing issues and discussions.

Problem Description

Add the ability to highlight using a gradient hallucinations

default proposed model
https://huggingface.co/KRLabsOrg/lettucedect-base-modernbert-en-v1/tree/main

Desired Solution you'd like

In documents, add a new hallucination detection model

Add the ability to highlight identified hallucinations using a gradient color schema based on the score

Alternatives Considered

No response

Additional Context

No response

Originally created by @thistleknot on GitHub (Jul 15, 2025). Original GitHub issue: https://github.com/open-webui/open-webui/issues/15742 ### Check Existing Issues - [x] I have searched the existing issues and discussions. ### Problem Description Add the ability to highlight using a gradient hallucinations default proposed model https://huggingface.co/KRLabsOrg/lettucedect-base-modernbert-en-v1/tree/main ### Desired Solution you'd like In documents, add a new hallucination detection model Add the ability to highlight identified hallucinations using a gradient color schema based on the score ### Alternatives Considered _No response_ ### Additional Context _No response_
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@Classic298 commented on GitHub (Jul 15, 2025):

what?

Use an LLM (that will hallucinate itself) to detect hallucinations of another LLM?

<!-- gh-comment-id:3074599719 --> @Classic298 commented on GitHub (Jul 15, 2025): what? Use an LLM (that will hallucinate itself) to detect hallucinations of another LLM?
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@thistleknot commented on GitHub (Jul 15, 2025):

Check out lettucedetect

Its a model when given context and response will identify text in the
response that wasn't directly sourced from the context

Similar to ragas metrics (in terms of providing response and context to
evaluate)

On Tue, Jul 15, 2025, 10:38 AM Classic298 @.***> wrote:

Classic298 left a comment (open-webui/open-webui#15742)
https://github.com/open-webui/open-webui/issues/15742#issuecomment-3074599719

what?

Use an LLM (that will hallucinate itself) to detect hallucinations of
another LLM?

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<!-- gh-comment-id:3074877293 --> @thistleknot commented on GitHub (Jul 15, 2025): Check out lettucedetect Its a model when given context and response will identify text in the response that wasn't directly sourced from the context Similar to ragas metrics (in terms of providing response and context to evaluate) On Tue, Jul 15, 2025, 10:38 AM Classic298 ***@***.***> wrote: > *Classic298* left a comment (open-webui/open-webui#15742) > <https://github.com/open-webui/open-webui/issues/15742#issuecomment-3074599719> > > what? > > Use an LLM (that will hallucinate itself) to detect hallucinations of > another LLM? > > — > Reply to this email directly, view it on GitHub > <https://github.com/open-webui/open-webui/issues/15742#issuecomment-3074599719>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ABHKKOQQXTIWXSVD4ODLTJ33IU37XAVCNFSM6AAAAACBST62TCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZTANZUGU4TSNZRHE> > . > You are receiving this because you authored the thread.Message ID: > ***@***.***> >
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Reference: github-starred/open-webui#33183