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How to train AI chatbot with URLs | Thinkstack AI Tutorial

#AI Tools
2025-09-01 18:327 min read

Content Introduction

This tutorial provides step-by-step instructions on how to train a chatbot using URLs as data sources in the Things Tack platform. The video begins with a welcome message and an overview of the training process. It covers signing into an account, selecting a chatbot to train, and navigating to the sources section where users can input URLs. The tutorial demonstrates the importance of excluding certain pages from training and initiating the crawling process to gather data. Once crawling is completed, the video shows how to train the chatbot and test its responses. The viewer is guided through the process, culminating in a successful verification of the chatbot's capability to answer questions related to URL training in Things Tack. The video emphasizes user interactivity and providing feedback through the chatbot's responses.

Key Information

  • The tutorial teaches how to train a chatbot using URL as a data source.
  • Users must sign into their Things Tack account to begin the training process.
  • Select the desired chatbot for training and navigate to the sources section.
  • Users are guided to copy and paste the URL as the data source and can exclude certain URLs from crawling.
  • Once the crawling starts, users must wait for it to complete before receiving an email notification.
  • After crawling, users can check the training status and test their chatbot with specific queries.
  • The process emphasizes excluding unwanted pages and filtering based on character count for training.

Timeline Analysis

Content Keywords

Things Tack

This tutorial explains how to train your chatbot using a URL as a data source. It guides users through signing into their Things Tack account, selecting a chatbot, and navigating to the sources section to input the URL for training.

Data Source

The tutorial demonstrates how to use the Things Tag website as the data source for training the chatbot. It includes details on copying the link, adding it to the data source, and excluding certain pages from being crawled.

Crawling Process

The process of crawling the specified URL begins after setup and may take a few minutes. Users are encouraged to wait for the completion of the crawling process and receive email notifications upon completion.

Chatbot Training

Once the crawling is complete, the training process for the chatbot is initiated. The tutorial emphasizes the importance of reviewing and testing the chatbot to ensure it provides correct answers based on the training data.

Testing Chatbot

The tutorial concludes by testing the chatbot with sample questions. It demonstrates the chatbot's functionality, confirming that it can accurately respond to queries based on the training it has undergone.

Related questions&answers

What is the purpose of this tutorial?

In this tutorial, you will learn how to train your chatbot using a URL as the data source.

How do I sign into my Things Tack account?

You need to sign in with your email and password on the Things Tack website.

What should I do after signing in?

After signing in, select the chatbot that you want to train.

What is an excluded URLs glob?

An excluded URLs glob tells the web crawler to avoid certain pages during the crawling process.

Is excluding pages mandatory for training?

No, excluding pages is not mandatory and can be done at a later stage as well.

How do I start the crawling process?

Once you are ready, click on the 'start crawling' button to initiate the process.

What happens after the crawling process is completed?

You will receive an email confirmation, and you can also continue from where you left off.

How do I filter pages based on characters?

You can click on a filter that lists the pages from least to highest characters and exclude any you do not want.

How do I start the training process?

Once you have reviewed the pages, click on the 'train' button to start the training process.

What should I do to test my chatbot?

To test your chatbot, navigate to the preview section and ask it questions.

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