
What is VectorShift
VectorShift is an ecosystem designed to build, deploy, and manage AI applications. It combines a user-friendly no-code interface with a robust Code SDK, enabling users to create applications using drag-and-drop or dive into coding with seamless IDE integration. The platform offers flexibility and power, making it suitable for both no-code enthusiasts and developers.
How to Use VectorShift
- Start with a template: Leverage dozens of pre-built templates for various use cases, such as research report generators or resume screeners.
- Connect data: Allow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.
- 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 the Python SDK.
- Customize and deploy to end users: Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.
Use Cases of VectorShift
VectorShift empowers users to build AI-powered applications for various use cases, including:
- Assistants: Integrate natural language search and live-sync databases like Notion and Airtable to automate information retrieval.
- Chatbots: Prototype, customize, and deploy customer-facing chatbots for support, onboarding, lead collection, and advisory services.
- Workflow Automation: Automate the creation of marketing copy, personalized emails, call summaries, and graphics at scale.
Features of VectorShift
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No-code Interface
Build and deploy powerful applications with drag-and-drop components and customizable deployment interfaces, requiring no coding.
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Code SDK
Access all functionality of the VectorShift platform through your IDE using simple, intuitive APIs. Complete interoperability between no-code and Code SDK.
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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. Supported integrations include Google Drive, OneDrive, Salesforce, Hubspot, Notion, and Airtable.
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Large Language Models
Access the latest models through the VectorShift platform, including OpenAI, Anthropic, Huggingface, Google, LLAMA, AWS, and Mistral AI.