Automation

Run AI workflows involving your data and tools automatically.

Designate triggers and actions for your AI workflows

Designate triggers and actions for your AI workflows

Say you want to send a slack message every time someone fills out a Typeform form. The trigger is a new typeform response. 

Say you want to send a slack message every time someone fills out a Typeform form. The trigger is a new typeform response. 

Designate triggers and actions for your AI workflows

Say you want to send a slack message every time someone fills out a Typeform form. The trigger is a new typeform response. 

Schedule workflows like CRON jobs

Schedule workflows like CRON jobs

Schedule workflows to run at certain time intervals or allow defined triggers (e.g., email, slack message, typeform message) to start a pipeline run.  

Schedule workflows to run at certain time intervals or allow defined triggers (e.g., email, slack message, typeform message) to start a pipeline run.  

Schedule workflows like CRON jobs

Schedule workflows to run at certain time intervals or allow defined triggers (e.g., email, slack message, typeform message) to start a pipeline run.  

Configure
piplelines

Configure
piplelines

Configure a pipeline to perform actions across your tools and data (e.g., send a slack message, write a Notion document, add airtable data). 

Configure a pipeline to perform actions across your tools and data (e.g., send a slack message, write a Notion document, add airtable data). 

Configure
piplelines

Configure a pipeline to perform actions across your tools and data (e.g., send a slack message, write a Notion document, add airtable data). 

VectorShift Docs

Unlock advanced features and detailed guides in our extensive documentation.

pipeline_setup.py

from vectorshift.node import *

from vectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')

model_text_node = TextNode(text='Describe this file to me.')

llm_node = OpenAI_LLMNode(

model='gpt-4.0-turbo',

system_input=model_text_node.output(),

prompt_input=fileloader_node.output()

)


output_node = OutputNode(

name='my_output',

output_type='text',

input=llm_node.output()

)

VectorShift Docs

Unlock advanced features and detailed guides in our extensive documentation.

pipeline_setup.py

from vectorshift.node import *

from vectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')

model_text_node = TextNode(text='Describe this file to me.')

llm_node = OpenAI_LLMNode(

model='gpt-4.0-turbo',

system_input=model_text_node.output(),

prompt_input=fileloader_node.output()

)


output_node = OutputNode(

name='my_output',

output_type='text',

input=llm_node.output()

)

Get started today

Get started today

Get started today

Get started today

© 2023 VectorShift, Inc. All Rights Reserved.

© 2023 VectorShift, Inc. All Rights Reserved.

© 2023 VectorShift, Inc. All Rights Reserved.