Connect Cohere AI and Keka to Build Intelligent Automations

Choose a Trigger

Cohere AI

When this happens...

Choose an Action

Keka

Automatically do this!

Ready to use Cohere AI and Keka automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Employee Added

New Employee Added

Triggered when a new employee is added to Keka.

Request a new Trigger for Cohere AI

Do thisActions

Action is the task that follows automatically within your Cohere AI integrations.

Tokenize Text

Tokenize Text

Splits input text into smaller units called tokens.

Detokenize Text

Detokenize Text

This endpoint converts code tokens that use byte-pair encoding into normal text.

Embed Text

Embed Text

This endpoint generates text embeddings, numerical lists that represent text meaning.

Deactivate Employee

Deactivate Employee

Create an exit request to record an employee’s resignation date, last working day, reason, and rehire eligibility.

List leave types

List leave types

List all leave types in your Keka account.

List All Employee Salary Details

List All Employee Salary Details

Search Employee Salary Details by Employee Number

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Frequently Asked Questions

How do I start an integration between Cohere AI and Keka?

To start, connect both your Cohere AI and Keka accounts to viaSocket. Once connected, you can set up a workflow where an event in Cohere AI triggers actions in Keka (or vice versa).

Can we customize how data from Cohere AI is recorded in Keka?

Absolutely. You can customize how Cohere AI data is recorded in Keka. This includes choosing which data fields go into which fields of Keka, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Cohere AI and Keka?

The data sync between Cohere AI and Keka typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Cohere AI to Keka?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Cohere AI and Keka?

Yes, you can set conditional logic to control the flow of data between Cohere AI and Keka. 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.

Cohere AI

About Cohere AI

Cohere AI offers cutting-edge natural language processing solutions, enabling developers to integrate advanced AI-powered text understanding and generation into their applications.

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Keka

About Keka

Keka is a comprehensive HR and payroll management platform designed to streamline and automate various human resource processes. It offers features such as employee management, attendance tracking, leave management, payroll processing, and performance evaluation, making it an essential tool for businesses looking to enhance their HR operations.

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