VectorShift: The End-to-End AI Automations Platform

Created
Oct 17, 2024 11:06 AM
AI keywords
AI summary

VectorShift is an end-to-end AI automation platform that offers no-code and low-code solutions for building AI applications such as search engines, chatbots, and workflow automations. It features a user-friendly interface, robust SDK, and integration capabilities with various tools. Users can leverage AI across different data formats, automate tasks, and customize applications easily. The platform also provides enterprise solutions, report generation, and personalized email outreach, along with extensive documentation and support.

VectorShift

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Solutions

Enterprise

Pricing

Resources

Security

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The No-Code

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.

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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.

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()

)

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Marketplace: Pre-built use cases

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Agents: execute complex tasks

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Search: use the optimal data retrieval method

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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 yourcompany and products

Assistants

Integrate natural language search and live-sync databases such as Notion and Airtable to automate information retrieval.

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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.

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Workflow Automation

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

Outbound

Copy

Summaries

Analytics

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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 witha template

    Leverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.

  • 2
  • Connectdata

    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.

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Report generation

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High volume chatbot

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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?

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