Connect Yellow.ai and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Outbound Template
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Yellow.ai and Neo4j
Enable Integrations or automations with these events of Yellow.ai and Neo4j
Triggers
New Outbound Template
Triggered when a new outbound template is created in Yellow.ai.
Actions
Create User
Creates a new user in the Yellow.ai platform.
Get Outbound Templates
Get all active Outbound templates associated with a specified bot ID.
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Frequently Asked Questions
To start, connect both your Yellow.ai and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Yellow.ai triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Yellow.ai data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Yellow.ai and Neo4j 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 Yellow.ai and Neo4j. 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 Yellow.ai
Yellow.ai is a leading AI-powered platform that specializes in automating customer interactions across various channels. It leverages advanced artificial intelligence to provide seamless and personalized customer experiences, enhancing engagement and satisfaction. The platform is designed to cater to businesses looking to optimize their customer support, marketing, and sales processes through intelligent automation.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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