Connect LiveChat and Neo4j to Build Intelligent Automations

Choose a Trigger

LiveChat

When this happens...

Choose an Action

Neo4j

Automatically do this!

Enable Integrations or automations with these events of LiveChat and Neo4j

Enable Integrations or automations with these events of LiveChat and Neo4j

Triggers

New Chat

New Chat

Triggers when the chat is started.

Finished Chat

Finished Chat

Triggers when the chat is ended.

Chat Changed

Chat Changed

Triggers when the tag list for a chat was changed.

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Frequently Asked Questions

How do I start an integration between LiveChat and Neo4j?

To start, connect both your LiveChat and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in LiveChat triggers actions in Neo4j (or vice versa).

Can we customize how data from LiveChat is recorded in Neo4j?

Absolutely. You can customize how LiveChat 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.

How often does the data sync between LiveChat and Neo4j?

The data sync between LiveChat and Neo4j 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 LiveChat to Neo4j?

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 LiveChat and Neo4j?

Yes, you can set conditional logic to control the flow of data between LiveChat 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.

LiveChat

About LiveChat

LiveChat is the faster way to contact your customers. It is a web-based chat tool that lets you chat with your website visitors.

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Neo4j

About 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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