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EmbedAI and Trengo integration

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

How to connect EmbedAI and Trengo

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.

EmbedAI and Trengo integration: Create a new workflow and add the first step

Build your own EmbedAI and Trengo integration

Create custom EmbedAI and Trengo 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 EmbedAI

Delete

Get

Head

Options

Patch

Post

Put

To set up EmbedAI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to EmbedAI to query the data you need using the API endpoint URLs you provide.

See the example here

Requires additional credentials set up

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

Supported API Endpoints for Trengo

To set up Trengo integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Trengo to query the data you need using the API endpoint URLs you provide.

See the example here

These API endpoints were generated using n8n

n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Trengo official documentation to get a full list of all API endpoints and verify the scraped ones!

EmbedAI and Trengo integration details

EmbedAI

EmbedAI

With EmbedAI, you have the ability to build your own personalized AI ChatGPT bot by utilizing your own data for training. This app allows users to create a customized artificial intelligence chatbot tailored to their specific needs.

Related categories

FAQs

FAQ

Can EmbedAI connect with Trengo?

Can I use EmbedAI’s API with n8n?

Can I use Trengo’s API with n8n?

Is n8n secure for integrating EmbedAI and Trengo?

How to get started with EmbedAI and Trengo integration in n8n.io?

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