Hello everyone,
I’m looking for some advice.
Sometimes, when reviewing the sources used by the bot, I notice that the confidence scores are relatively low (around 60–70%), which can lead to less accurate responses.
Does anyone know if it’s possible to configure the bot’s algorithm to automatically adjust its behavior when the confidence score drops below a certain threshold, for example, by asking clarifying questions or requesting additional context when the score is at particular level?
Hello @Медвідь @curiospumpkin ,
The main issue with relying on the confidence score is that it’s not always a consistent or reliable indicator across different training models. Different training models calculate and interpret confidence scores differently, so using it as a control mechanism could lead to unstable behavior — especially when the training model is updated.
Additionally, even within the same training model, low confidence scores don’t always mean the answer is wrong. Biases in the model or noise in the data or subtle differences in phrasing can cause lower similarity scores, even when the result is actually relevant.
A better approach is to focus on improvement through monitoring and retraining. For example, you can track unresolved or low-quality responses and use them to refine your data and FAQs over time.
Very important: If you will use a more advanced or stronger model (Especially Sonnet 4.5), you’ll also notice that it already tends to handle uncertainty better — often asking clarifying questions or providing balanced responses automatically.
So, in short: rather than building logic around confidence thresholds, it’s more effective to invest in model quality, richer training data, and performance reviews.
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There is a Global outage on Cloudflare Network that might be causing some issue for you. We are currently monitoring it, We will update you once it is fully resolved. https://www.cloudflarestatus.com/
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