Marketplace
With over 60 and counting pre-built pipelines for you to automate workflows immediately.
Simple chatbot
Simple chatbot
Simple chatbot
Engage users with a simple chatbot, providing quick responses and simplifying interactions to create a smooth conversational experience.
Engage users with a simple chatbot, providing quick responses and simplifying interactions to create a smooth conversational experience.
Engage users with a simple chatbot, providing quick responses and simplifying interactions to create a smooth conversational experience.
Document Analyst
Document Analyst
Document Analyst
Efficiently analyze documents by extracting key insights and streamline your document processing strategy in an instant.
Efficiently analyze documents by extracting key insights and streamline your document processing strategy in an instant.
Efficiently analyze documents by extracting key insights and streamline your document processing strategy in an instant.
Fill template using Notes
Fill template using Notes
Fill template using Notes
Quickly fill templates with essential information using our AI-powered notes tool, streamlining your note-taking for effortless organization.
Quickly fill templates with essential information using our AI-powered notes tool, streamlining your note-taking for effortless organization.
Quickly fill templates with essential information using our AI-powered notes tool, streamlining your note-taking for effortless organization.
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.
