Kafka and Read AI integration

Save yourself the work of writing custom integrations for Kafka and Read AI and use n8n instead. Build adaptable and scalable Development, and AI workflows that work with your technology stack. All within a building experience you will love.

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How to connect Kafka and Read AI

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Kafka and Read AI integration: Create a new workflow and add the first step

Step 2: Add and configure Kafka and Read AI nodes (using the HTTP Request node)

You can find the Kafka node in the nodes panel and drag it onto your workflow canvas. To add the Read AI app to the workflow select the HTTP Request node and use the generic authentication method to make custom API calls to Read AI. Configure Read AI and Kafka one by one: input data on the left, parameters in the middle, and output data on the right.

Kafka and Read AI integration: Add and configure Kafka and Read AI nodes

Step 3: Connect Kafka and Read AI

A connection establishes a link between Kafka and Read AI (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Kafka and Read AI integration: Connect Kafka and Read AI

Step 4: Customize and extend your Kafka and Read AI integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Kafka and Read AI with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Kafka and Read AI integration: Customize and extend your Kafka and Read AI integration

Step 5: Test and activate your Kafka and Read AI workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Kafka to Read AI or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Kafka and Read AI integration: Test and activate your Kafka and Read AI workflow

Build your own Kafka and Read AI integration

Create custom Kafka and Read AI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Supported methods for Read AI

Delete

Get

Head

Options

Patch

Post

Put

Requires additional credentials set up

Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.

Kafka and Read AI integration details

Kafka is an open-source platform for distributed event streaming that may be used for mission-critical applications, high-performance data pipelines, streaming analytics, and data integration. The largest companies in the world, in different sectors, are using Kafka.

Kafka node docs + examples

Kafka credential docs

See Kafka integrations

Related categories

Development

Read AI is a powerful tool that uses artificial intelligence to analyze and comprehend text. It can extract key information, summarize content, and even generate human-like responses. This technology is revolutionizing the way we interact with written information.

Using generic authentication

See Read AI integrations

Related categories

Other integrations with Kafka