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THE END-TO-END
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.

Get started



Talk to us




AN ECOSYSTEM TO BUILD, DEPLOY,
AND MANAGE AI APPLICATIONS

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()

)

MARKETPLACE: PRE-BUILT USE CASES

LEARN MORE



AGENTS: EXECUTE COMPLEX TASKS

LEARN MORE



SEARCH: USE THE OPTIMAL DATA RETRIEVAL METHOD

LEARN MORE



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

GOOGLE

LLAMA

AWS

MISTRAL AI_


LEVERAGE AI THROUGHOUT YOUR
COMPANY AND PRODUCTS

ASSISTANTS

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

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

Automate the creation of marketing copy, personalized outbound emails, call
summaries, and graphics at scale.

Outbound

Copy

Summaries

Analytics



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.


HOW IT WORKS

 * 1
   
   START WITH
   A TEMPLATE
   
   Leverage dozens of pre-built templates for end use cases - ranging from
   research report generators to resume screeners.
   
   

 * 2
   
   CONNECT
   DATA
   
   Allow 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.




ENTERPRISE SOLUTIONS

We leverage our secure infrastructure and development platform to build and
deploy high-ROI AI solutions for your organizations.

LEARN MORE



REPORT GENERATION

HIGH VOLUME CHATBOT

PERSONALIZED EMAIL OUTBOUND

RFP AND PROPOSAL GENERATORS

KNOWLEDGE SEARCH

VECTORSHIFT DOCS

Unlock advanced features and detailed guides in our extensive documentation.

Browse 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()

)


FAQ

WHO CAN USE VECTORSHIFT?

CAN I TRY VECTORSHIFT FOR FREE?

IS THERE A MONTHLY PLAN AVAILABLE?

CAN I USE MY OWN LLM API KEY?

IS VECTORSHIFT SECURE?

WHERE CAN I LEARN MORE ABOUT HOW TO USE VECTORSHIFT?

CAN VECTORSHIFT INTEGRATE WITH MY DATA?

CAN VECTORSHIFT HELP BUILT A SOLUTION FOR ORGANIZATION?


GET STARTED TODAY

Get Started



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