Pipeline
Automate workflows through no-code or SDK interfaces.
Access the core components of any AI workflow
Access the core components of any AI workflow
Access the core components of any AI workflow
AI workflows are composed of the same "building blocks". Access the core building blocks of AI through our platform.
AI workflows are composed of the same "building blocks". Access the core building blocks of AI through our platform.
AI workflows are composed of the same "building blocks". Access the core building blocks of AI through our platform.
Build your ideal workflow, node by node
Build your ideal workflow, node by node
Build your ideal workflow, node by node
Customize the flow of data and logic through an intuitive no-code interface or software development kit.
Customize the flow of data and logic through an intuitive no-code interface or software development kit.
Customize the flow of data and logic through an intuitive no-code interface or software development kit.
Deploy directly to production
Deploy directly to production
Deploy directly to production
Accelerate your progress – deploy your tailored solutions directly to production. Scale your innovations instantly across your entire team or customer base.
Accelerate your progress – deploy your tailored solutions directly to production. Scale your innovations instantly across your entire team or customer base.
Accelerate your progress – deploy your tailored solutions directly to production. Scale your innovations instantly across your entire team or customer base.
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()
)
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
