The No-Code
AI automations platform
An integrated framework of no-code, low-code, and out of the box generative AI solutions to build AI search engines, assistants, chatbots, and automations.
An ecosystem to build, deploy,
and manage AI applications
An ecosystem to build, deploy and manage AI applications
Empowering development with no-code and code SDK
VectorShift combines a user-friendly No-code interface with a robust Code SDK. Effortlessly create applications using drag-and-drop, or dive into coding with seamless IDE integration. Enjoy flexibility and power, all in one platform.
VectorShift combines a user-friendly No-code interface with a robust Code SDK. Effortlessly create applications using drag-and-drop, or dive into coding with seamless IDE integration. Enjoy flexibility and power, all in one platform.
Instruction text
Describe this file to me
File input
JSON, CSV, PDF
OpenAI LLM
Model: gpt-4.0-turbo (processes input)
File loader
Reads the input file
Result
Generates output
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.')
fileloader_node = FileLoaderNode (file_input=file_node.output())
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()
)
No-code
Build and deploy powerful applications with drag and drop components and customizable deployment interfaces. No coding required.
OpenAI LLM
Model: gpt-4.0-turbo (processes input)
File input
JSON, CSV, PDF
File loader
Reads the input file
Instruction text
Describe this file to me
Result
Generates output
Code SDK
Access all functionality of the VectorShift platform through your IDE through simple, intuitive APIs. Complete interoperability between No-code and Code SDK.
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.')
fileloader_node = FileLoaderNode (file_input=file_node.output())
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()
)
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Leverage AI throughout your
company and products
Assistants
Assistants
Assistants
Integrate natural language search and live-sync databases such as Notion and Airtable to automate information retrieval.
Integrate natural language search and live-sync databases such as Notion and Airtable to automate information retrieval.
Integrate natural language search and live-sync databases such as Notion and Airtable to automate information retrieval.
+64
When was this contract started?
20230329-Product-Contract-Acme.pdf
The contract started on January 1, 2023.
When was this contract last modified?
20230329-Product-Contract-Acme.pdf
The contract was last modified by John D. on June 13, 2023. The modifications were done on page 3,4 and 16.
What’s the contract ceiling?
20230329-Product-Contract-Acme.pdf
The contract ceiling is USD$1,000,000.
Chatbot
Chatbot
Chatbot
Prototype, customize, and deploy a customer facing chatbot in minutes. Use cases including customer support, onboarding flow, lead collection, and white-glove advisory.
Prototype, customize, and deploy a customer facing chatbot in minutes. Use cases including customer support, onboarding flow, lead collection, and white-glove advisory.
Prototype, customize, and deploy a customer facing chatbot in minutes. Use cases including customer support, onboarding flow, lead collection, and white-glove advisory.
Workflow Automation
Workflow Automation
Workflow Automation
Workflow Automation
Automate the creation of marketing copy, personalized outbound emails, call summaries, and graphics at scale.
Automate the creation of marketing copy, personalized outbound emails, call summaries, and graphics at scale.
Automate the creation of marketing copy, personalized outbound emails, call summaries, and graphics at scale.
Automate the creation of marketing copy, personalized outbound emails, call summaries, and graphics at scale.
Website
Tables
PDFs
Videos
Audio
Document
Leverage AI across data of all formats
Summarize and answer questions about documents, videos, audio files, and websites. Analyze and compare documents seamlessly.
Website
Tables
PDFs
Videos
Audio
Document
How it works
1
Start with
a templateLeverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.
2
Connect
dataAllow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.
3
Intuitive drag and drop builder
Build and rapidly iterate on your application’s architecture with a large library of drag and drop components. Transfer your work seamlessly between no-code and our python SDK.
4
Customize and deploy to end users
Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.
1
Start with
a templateLeverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.
2
Connect
dataAllow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.
3
Intuitive drag and drop builder
Build and rapidly iterate on your application’s architecture with a large library of drag and drop components. Transfer your work seamlessly between no-code and our python SDK.
4
Customize and deploy to end users
Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.
1
Start with
a templateLeverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.
2
Connect
dataAllow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.
3
Intuitive drag and drop builder
Build and rapidly iterate on your application’s architecture with a large library of drag and drop components. Transfer your work seamlessly between no-code and our python SDK.
4
Customize and deploy to end users
Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.
1
Start with
a templateLeverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.
2
Connect
dataAllow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.
3
Intuitive drag and drop builder
Build and rapidly iterate on your application’s architecture with a large library of drag and drop components. Transfer your work seamlessly between no-code and our python SDK.
4
Customize and deploy to end users
Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.
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()
)