VectorShift Howto
VectorShift is a comprehensive end-to-end AI automations platform that empowers users to build, deploy, and manage generative AI workflows and applications through both no-code and code SDK interfaces.
View MoreHow to Use VectorShift
Sign up for VectorShift: Register for an account on VectorShift using your email, Google, or GitHub account.
Access the main dashboard: Once registered, you'll be taken to the main dashboard (pipeline page) where you can manage all your automations.
Choose a template or start from scratch: Select a pre-built template for your use case or start with a blank canvas to build your AI application.
Connect your data sources: Integrate your data by connecting to services like Google Drive, OneDrive, Salesforce, HubSpot, Notion, or Airtable.
Build your workflow: Use the drag-and-drop interface to create your AI workflow. Add components like input nodes, knowledge base readers, LLM nodes, and output nodes.
Configure your LLM: Choose and set up your preferred language model (e.g., OpenAI, Anthropic, Hugging Face) within your workflow.
Set up triggers and actions: Configure triggers (e.g., receiving an email) and actions (e.g., sending a Slack message) to automate your workflow.
Test your application: Use the platform's testing features to ensure your AI application works as intended.
Customize the user interface: Adjust the look and feel of your application to match your needs or brand.
Deploy your application: Export your creation as a chatbot or generate an API endpoint to integrate it into your existing systems.
Monitor and iterate: Use VectorShift's analytics tools to monitor your application's performance and make improvements as needed.
VectorShift FAQs
VectorShift is a no-code AI automations platform that allows users to build AI search engines, assistants, chatbots, and automations. It provides both a drag-and-drop no-code interface and a code SDK for building AI applications.
VectorShift Monthly Traffic Trends
VectorShift experienced a 5.4% decline in traffic, with 124.4K visits in November. The lack of significant product updates or major announcements in November may have contributed to the slight decline in user engagement.
View history traffic
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