Definable.ai is built around several core concepts that work together to create a powerful AI agent platform. Understanding these concepts is essential for effectively using the platform to build, deploy, and monetize AI solutions.Documentation Index
Fetch the complete documentation index at: https://docs.zyeta.io/llms.txt
Use this file to discover all available pages before exploring further.
Platform Architecture
Concept Relationships
🎯 Explore Core Components
🤖 AI Agents
The Intelligence Layer - Autonomous entities that understand context, reason through problems, and take meaningful actions to help users accomplish their goals ✨
📚 Knowledge Base
The Memory System - Intelligent repository where your agents access domain-specific information, documents, and data to provide accurate, contextual responses 🧠
🔍 Vector Database
The Search Engine - Advanced semantic search technology that understands meaning, not just keywords, to find the most relevant information instantly 🎯
🛠️ Tools
The Action Layer - Extensible functions that give your agents superpowers - from API calls to calculations, file processing to integrations 🚀
🧠 LLM Models
The Reasoning Core - Choose from GPT-4, Claude, and other cutting-edge language models that power natural conversation and intelligent decision-making 💫
🎨 Integration Hub
The Connection Point - Seamlessly connect all components together to create powerful, scalable AI applications that solve real-world problems 🌟
🚀 Learning Paths
👩💼 For Business Users
👨💻 For Developers
Technical Path 🛠️
🏗️ For Architects
System Design 📐
How They Work Together
1. Agent Creation Flow
2. Query Processing Flow
Key Benefits
For Developers
- Modular Architecture: Each component serves a specific purpose and can be independently configured
- Scalable Design: Components can be scaled based on demand
- Flexible Integration: Mix and match components based on your use case
For Organizations
- Centralized Management: Control access and usage across all components
- Cost Optimization: Pay only for what you use
- Security: Built-in authentication and access controls
for End Users
- Intelligent Responses: Agents leverage knowledge bases for accurate information
- Extended Capabilities: Tools allow agents to perform complex actions
- Consistent Experience: Standardized interaction patterns across deployments
Getting Started
To start building with Definable.ai, follow this recommended path:- Understand Agents - Learn how AI agents work and their capabilities
- Set up Knowledge Base - Create repositories of information for your agents
- Configure Vector Database - Understand how semantic search powers your knowledge base
- Add Tools - Extend agent capabilities with custom functions
- Choose Models - Select the right language model for your use case
Next Steps
Ready to dive deeper? Explore each concept in detail:- AI Agents - The core intelligence of your applications
- Knowledge Base - Information repository and management
- Vector Database - Semantic search and retrieval
- Tools - Extending agent capabilities
- LLM Models - Language model selection and configuration