Connect Rev AI and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of Rev AI and Neo4j
Enable Integrations or automations with these events of Rev AI and Neo4j
Triggers
New Topic Extraction
Trigger when new topic extraction is created.
New Submit Sentiment Analysis
Trigger when new submit analysis .
New Force Alignment Job
Trigger when new force alignment is created.
Actions
Submit Topic Extraction Job
Starts an asynchronous job to extract topics from a transcript.
Delete Topic Extraction
Delete an existing topic extraction.
Submit Sentiment Analysis
Starts an asynchronous job to analyze sentiments in a transcript.
Delete Submit Sentiment Analysis
Delete an existign submit sentiment analysis.
Submit Force Alignment Job
Starts an asynchronous job to obtain precise word timings for an audio file and text transcript.
Delete Submit Force Alignment Job
Delete an existing submit force alignment job.
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Frequently Asked Questions
To start, connect both your Rev AI and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Rev AI triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Rev 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 Rev 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 Rev 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 Rev AI
Rev is an audio transcription service that uses human beings to transcribe English audio or video into text.
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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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