Quick Start Guide
Follow these steps to deploy your first AI agent in minutes on the KNetAI platform.
Welcome to KNetAI! This guide will walk you through the simplest path to building an autonomous AI agent using our no-code platform.
Step 1: Create Your Workspace
Log into flow.knetai.com and create a new project. You can start with a blank canvas or use one of our templates.
Step 2: Set Up Your Model
Select your preferred LLM (OpenAI, Anthropic, or Local Llama-3). For your first project, we recommend using Llama-3 for maximum speed and accessibility.
Step 3: Connect Your Data (Knowledge Base)
Drag and drop a PDF or spreadsheet into the Knowledge Base node. KNetAI will automatically chunk and index your document for high-performance RAG (Retrieval-Augmented Generation).
Step 4: Build Your Logic
In Mission Control, connect your input node (e.g., a Chat interface) to your LLM node, and then to your Knowledge Base. Your agent now has "institutional knowledge."
Step 5: Test and Deploy
Use the built-in preview to test your agent's responses. Once satisfied, click Deploy to export your agent as a Chat Assistant or an API endpoint.
Next Steps:
- Explore the Intermediate Builder Path to add logic nodes.
- Connect your agent to Slack via our MCP connectors.
- Learn about Sovereign AI deployment for private enterprise use.