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Getting Started with SimplAI Studio Workflow

Welcome to SimplAI Studio! This guide will help you start your journey in building AI-driven applications using our step-by-step workflow.

The SimplAI Studio Workflow provides a structured approach for new users to create AI-powered solutions with ease. Follow these four key steps:

1. Create a Dataset​

A Dataset serves as the foundation of your AI applications. You can:

  1. Upload files (CSV, PDF, etc.).
  2. Connect to external data sources (APIs, databases, or cloud storage).
  3. Define the structure and preprocess data for AI-powered insights.

➡️ Learn how to create a dataset

2. Create a Knowledge Base​

A Knowledge Base organizes and stores information for AI agents to retrieve structured insights. You can:

  1. Convert unstructured or structured data into a searchable AI-ready format.
  2. Upload documents or connect external sources.
  3. Configure vector database, embedding and retrieval settings.

➡️ Learn how to create a Knowledge Base

3. Build a Tool​

A Tool helps automate processes by using AI models, web scraping, API calls, and data processing. You can:

  1. Design workflows to process information.
  2. Create tools for summarization, data extraction, or research.
  3. Integrate tools with AI Agents for better automation.

➡️ Learn how to build a tool

4. Build an Agent​

An AI Agent acts autonomously, using datasets, tools, and knowledge bases to generate intelligent responses and automate workflows. You can:

  1. Define an agent’s role and purpose.
  2. Connect it with relevant tools and knowledge bases.
  3. Test, optimize, and deploy the agent for real-world use.

➡️ Learn how to build an AI Agent

What’s Next?​

Now that you have set up the workflow, here’s what you can do next:

  1. Run the application and monitor the performance in tracing.
  2. Explore Prebuilt Resources to accelerate development.

Need help? Contact our support team at [email protected] for assistance.