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integrationChaindesk node
HTTP Request
integrationDatabricks node
HTTP Request

Chaindesk and Databricks integration

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

How to connect Chaindesk and Databricks

  • 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.

Chaindesk and Databricks integration: Create a new workflow and add the first step

Step 2: Add and configure Chaindesk and Databricks nodes using the HTTP Request nodes

Add the HTTP Request nodes onto your workflow canvas. Set credentials for Chaindesk and Databricks as appropriate using generic authentication methods. The HTTP Request nodes make custom API calls to Chaindesk and Databricks to query the data you need. Configure nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Chaindesk and Databricks integration: Add and configure Chaindesk and Databricks nodes

Step 3: Connect Chaindesk and Databricks

A connection establishes a link between Chaindesk and Databricks (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.

Chaindesk and Databricks integration: Connect Chaindesk and Databricks

Step 4: Customize and extend your Chaindesk and Databricks 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 Chaindesk and Databricks with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Chaindesk and Databricks integration: Customize and extend your Chaindesk and Databricks integration

Step 5: Test and activate your Chaindesk and Databricks workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Chaindesk and Databricks 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.

Chaindesk and Databricks integration: Test and activate your Chaindesk and Databricks workflow

Build your own Chaindesk and Databricks integration

Create custom Chaindesk and Databricks 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 API Endpoints for Chaindesk

To set up Chaindesk 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 Chaindesk to query the data you need using the API endpoint URLs you provide.

Get conversations
Retrieve a list of conversations.
GET
/api-reference/endpoint/conversations/get
Get conversations
Retrieve a list of conversations.
GET
/api/conversations

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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!

Get messages
Retrieve messages within a conversation.
GET
/api-reference/endpoint/conversations/messages
Get messages
Retrieve a list of messages in a conversation.
GET
/api/conversations/messages

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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!

Query agent
Query specific information about an agent.
POST
/api-reference/endpoint/agents/query
Create agent
Create a new agent in the system.
POST
/api-reference/endpoint/agents/create
Get agent
Retrieve detailed information about a specific agent.
GET
/api-reference/endpoint/agents/get
Delete agent
Remove an agent from the system.
DEL
/api-reference/endpoint/agents/delete
Query agent
Submit a query to an agent.
POST
/api/agents/query
Create agent
Create a new agent.
POST
/api/agents/create
Get agent
Retrieve information about a specific agent.
GET
/api/agents/get
Update agent
Update details of an existing agent.
PATCH
/api/agents/update
Delete agent
Remove an agent from the system.
DELETE
/api/agents/delete

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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!

Create datasource
Create a new data source in the system.
POST
/api-reference/endpoint/datasources/create
Get datasource
Retrieve information about a specific data source.
GET
/api-reference/endpoint/datasources/get
Delete datasource
Remove a data source from the system.
DEL
/api-reference/endpoint/datasources/delete
Create datasource
Create a new data source.
POST
/api/datasources/create
Get datasource
Retrieve details of a specific data source.
GET
/api/datasources/get
Delete datasource
Remove a data source from the system.
DELETE
/api/datasources/delete

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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!

Query datastore
Query specific information about a datastore.
POST
/api-reference/endpoint/datastores/query
Create datastore
Create a new datastore in the system.
POST
/api-reference/endpoint/datastores/create
Get datastore
Retrieve information about a specific datastore.
GET
/api-reference/endpoint/datastores/get
Delete datastore
Remove a datastore from the system.
DEL
/api-reference/endpoint/datastores/delete
Query datastore
Submit a query to the datastore.
POST
/api/datastores/query
Create datastore
Create a new datastore.
POST
/api/datastores/create
Get datastore
Retrieve information about a specific datastore.
GET
/api/datastores/get
Update datastore
Update details of an existing datastore.
PATCH
/api/datastores/update
Delete datastore
Remove a datastore from the system.
DELETE
/api/datastores/delete

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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!

Supported API Endpoints for Databricks

To set up Databricks 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 Databricks to query the data you need using the API endpoint URLs you provide.

List clusters
Retrieve a list of all the clusters in your Databricks workspace.
GET
/api/clusters/list
Create cluster
Creates a cluster with the specified Databricks Runtime version and cluster node type.
POST
/api/clusters/create
Delete cluster
Permanently deletes a cluster from your Databricks workspace.
DELETE
/api/clusters/delete
Delete cluster
Permanently deletes the cluster with the specified cluster ID from the workspace.
DELETE
/api/v1/clusters/permanent_delete
Create cluster
Creates a new cluster in the Databricks workspace.
POST
/api/v1/clusters/create

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 Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!

Create job
Creates a Databricks job that runs the specified notebook on the specified cluster.
POST
/api/v1/jobs/create

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 Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!

Create directory
Creates an empty folder in a volume.
POST
/api/v1/files/create_directory
Upload file
Uploads a file to a volume.
POST
/api/v1/files/upload
List directory contents
Lists the contents of a volume.
GET
/api/v1/files/list_directory_contents
Delete file
Deletes a file from a volume.
DELETE
/api/v1/files/delete
Delete directory
Deletes a folder from a volume.
DELETE
/api/v1/files/delete_directory

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 Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!

List groups
Lists the display names for all of the available groups within the Databricks account.
GET
/api/v1/groups/list

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 Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!

FAQs

  • Can Chaindesk connect with Databricks?

  • Can I use Chaindesk’s API with n8n?

  • Can I use Databricks’s API with n8n?

  • Is n8n secure for integrating Chaindesk and Databricks?

  • How to get started with Chaindesk and Databricks integration in n8n.io?

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