Connect ChatBotKit and KNIME to Build Intelligent Automations
Enable Integrations or automations with these events of ChatBotKit and KNIME
Enable Integrations or automations with these events of ChatBotKit and KNIME
Actions
Add Dataset Record
Add a new text record to the selected dataset.
Create Conversation
Start a conversation with initial messages; optionally attach a contact, task, space, or bot.
Create dataset
Create a dataset to train or update your chatbot
Fetch DataSet
This action fetch dataset detail.
Delete Dataset
Delete a dataset from ChatBotKit
Create Dataset Record
Add a knowledge record to a dataset so the chatbot can find relevant answers.
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Frequently Asked Questions
To start, connect both your ChatBotKit and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in ChatBotKit triggers actions in KNIME (or vice versa).
Absolutely. You can customize how ChatBotKit data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between ChatBotKit and KNIME typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between ChatBotKit and KNIME. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About ChatBotKit
ChatBotKit is a comprehensive platform designed to help businesses and developers create, manage, and deploy chatbots with ease. It offers a range of tools and features to build intelligent conversational agents that can enhance customer interaction and automate support tasks.
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About KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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