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What does it do?

  • Application Development
  • Workflow Automation
  • Data Integration
  • Marketing Automation
  • Chatbot Creation

How is it used?

  • Use web app
  • drag-and-drop to build and deploy AI apps.
  • 1. Start w/ template
  • 2. Connect data
  • 3. Build w/ drag-and-drop
See more

Who is it good for?

  • Productivity Enthusiasts
  • Marketing Professionals
  • Operations Managers
  • Business Analysts
  • Customer Support Teams

Details & Features

  • Made By

    VectorShift
  • Released On

    2023-09-22

VectorShift is an end-to-end AI automation platform that simplifies the creation, deployment, and management of AI applications. It offers a comprehensive suite of no-code, low-code, and generative AI solutions, enabling users to build AI search engines, assistants, chatbots, and various automations without extensive programming knowledge.

Key features:

- No-Code Development: User-friendly drag-and-drop interface for building applications, accessible to users without coding skills.
- Low-Code Development: Robust Code SDK that integrates with IDEs, allowing for deeper customization and development.
- File Processing: Capability to input files in formats like JSON, CSV, and PDF, using the OpenAI GPT-4.0-turbo model for processing and output generation.
- Pre-Built Use Cases: Marketplace with pre-built use cases such as research report generators and resume screeners to accelerate development.
- Data Integration: Ability to leverage raw data from various sources, including websites, documents, and databases.
- Drag-and-Drop Builder: Library of components for rapid iteration on application architecture.
- Customization and Deployment: Options to customize applications and deploy to end users, with export capabilities for chatbots or API endpoint generation.
- Workflow Automation: Tools for automating marketing copy creation, personalized emails, call summaries, graphics, and data analysis tasks.
- Tool Stack Integration: Support for live-sync and action-based triggers with various productivity tools.
- Large Language Model Integration: Compatibility with multiple LLMs including OpenAI, Anthropic, Huggingface, Google, LLAMA, AWS, and Mistral AI.

How it works:

1. Users begin with pre-built templates tailored for specific use cases.
2. Raw data is integrated from multiple sources or direct database connections.
3. Applications are built and iterated using a drag-and-drop builder, with seamless switching between no-code and Python SDK.
4. Applications are customized in terms of look and feel and deployed as chatbots or API endpoints.

Integrations:

Google Drive, OneDrive, Salesforce, HubSpot, Notion, Airtable

Use of AI:

VectorShift leverages generative AI by integrating with leading AI models such as OpenAI's GPT-4.0-turbo. This allows the platform to process and generate outputs from various data formats, automate complex tasks, and enhance user interactions through natural language processing.

AI foundation model:

The platform primarily uses OpenAI's GPT-4.0-turbo model for processing and generating outputs from various file formats.

Target users:

- Businesses looking to automate workflows and enhance customer interactions
- Developers seeking a flexible platform that supports both no-code and code-based development
- Enterprises needing scalable AI solutions for tasks like report generation, personalized email campaigns, and knowledge search

How to access:

VectorShift is available as a web application and offers APIs for integration with other software. It is designed for enterprise use, providing secure infrastructure and high-ROI AI solutions.

  • Supported ecosystems
    WhatsApp, Meta, Slack, Gmail, Google Sheets, Google, Notion, Hubspot, Google, Microsoft, Salesforce, HubSpot, Notion, Airtable, OpenAI, Anthropic, Hugging Face, Google, AWS, Mistral AI
  • What does it do?
    Application Development, Workflow Automation, Data Integration, Marketing Automation, Chatbot Creation
  • Who is it good for?
    Productivity Enthusiasts, Marketing Professionals, Operations Managers, Business Analysts, Customer Support Teams

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