How to fine-tune your agent with the QA dataset?

Hi there! :blush:

If you want to train your Agent to respond in a predictable way to some questions regardless of its general knowledge, you can use the QA dataset.

Here’s a video by @Simone that demonstrates this very effectively:

This method could be useful for questions like “What is the pricing?” where you want a predictable, specific answer.

Open the Knowledge Hub

Firstly, you’re going to want to navigate to the Knowledge Hub.

Then, search for ‘QA dataset’ and click the button.

A window will pop up with three main sections, ‘list of questions’, ‘match mode’ and ‘answer’.

List of questions

In the ‘list of questions’, you can enter all the questions that you want your Agent to be specially trained on. Ensure to separate each question by starting a new line for each.

Match mode

For the ‘match mode’, you have two options: ‘Broadly’ and ‘As written’. If you choose ‘broad’, your Agent will respond to any question that is similar to those in your list, even if the wording is a little different.

Understanding broad matching

To give you a clear picture, let’s consider this question: “What is the pricing?”.

If someone asks “What is the price?”, your Agent will provide the trained answer because of the broad match mode. However, if the question is “How much does it cost?”, the Agent won’t give the trained answer because the wording is completely different, even though they’re asking about the same thing.

On the other hand, if you choose ‘exact’, the questions asked by your user must match exactly with the ones in your list for the Agent to give the trained response.


Finally, the ‘answer’ section allows you to enter what you want your Agent to respond when the user asks about any of the questions on your list.

And that’s it! With these straightforward steps, you can finetune your Agent to cater to specific questions in a predictable manner. Hope this was helpful.


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A special shout-out to Fatos and the incredible development team! :raised_hands::sparkles: The recent updates are a testament to your hard work and dedication.

Although we’re yet to dive into testing, the anticipation is high, and we can’t wait to experience the brilliance you’ve all poured into this project. :globe_with_meridians::computer:

Thank you, Fatos, and every member of the team, for your outstanding commitment to excellence! :rocket: Let’s celebrate the amazing work happening behind the scenes. :blue_heart::woman_technologist::man_technologist: #TeamAppreciation #Innovation #HardWorkPaysOff


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Love the new updates! Amazing Fatos :pray:t2::rocket:

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Lightning-fast in delivery. Congrats Fatos!