Connect Eden AI and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Eden AI
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Eden AI and Neo4j
Enable Integrations or automations with these events of Eden AI and Neo4j
Actions
Text to Speech
Conver Text message into audio.
Chat Conversation
Generate a Human-like responses to various inputs and queries.
Translate Text
Translate a Text into another language.
Remove the Background of an Image
Eliminate The backgroun of a Photo.
Ai Generated Content Detection
The Ai Detection Api is a tool is a designed to whether given a text was generated by an artificial intelligence , chatboat or a language model.
Face Detection
Identify Human faces in Digital Images : position ,age,smile etc.
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Frequently Asked Questions
To start, connect both your Eden AI and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Eden AI triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Eden 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 Eden 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 Eden 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 Eden AI
Eden AI is an AI API aggregator that allows you to use many AI technologies and providers without having to set up each API individually.
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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