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.
Create custom Chatling and SimpleLocalize 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.
List chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling 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 Chatling to query the data you need using the API endpoint URLs you provide.
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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
Add translation
Add translations to the project.
Read translations
Fetch translations from the project.
Update translation
Update existing translations in the project.
Delete translation
Delete specific translation keys from the project.
Import translations
Import translations from a file.
Export translations
Export translations to a file.
Auto-translate
Automatically translate your project's texts.
Update translation
This endpoint allows you to update translations in your project.
Publish translations
This endpoint publishes translations to make them available publicly.
Get all translations
Fetches all translations for the specified project and environment.
Get translations by language key
Fetches translations for a specific language key.
Get translations by language key and namespace
Fetches translations filtered by language key and namespace.
Get translations by language key, namespace and customerId
Fetches translations filtered by language key, namespace, and customer ID.
Get customer-specific translations
Fetches translations that are customer-specific for a given language key.
Search translations
Searches for translations based on provided query parameters.
Create translation key
This endpoint allows you to add new translation keys to your project.
Delete translation key
This endpoint allows you to delete a translation key with its translations.
Customer API
This endpoint provides access to customer-specific APIs.
Language API
This endpoint provides access to language-specific APIs.
Get languages
Retrieves a list of available languages for the project and environment.
Translation project management
This endpoint allows you to manage translation projects.
Get customers
Retrieves a list of customers associated with the project and environment.
To set up SimpleLocalize 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 SimpleLocalize to query the data you need using the API endpoint URLs you provide.
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 SimpleLocalize official documentation to get a full list of all API endpoints and verify the scraped ones!
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