AI Agents
Intelligent assistants that can think, plan, and use tools to accomplish complex tasks automatically.
AI Concepts Overview
Understanding AI concepts is the foundation for building truly intelligent workflows. These concepts work together to create systems that can think, learn, and adapt rather than just follow fixed rules.
Core AI concepts
Section titled “Core AI concepts”Embeddings & Vectors
Transform text into searchable numbers that capture meaning - the foundation of smart document search.
RAG (Smart Search)
Give AI access to your documents so it provides accurate, source-backed answers instead of making things up.
Memory & Context
Give your AI workflows the ability to remember past interactions and maintain context across conversations.
Tool Selection
How AI agents intelligently choose and coordinate multiple tools to accomplish complex tasks automatically.
Workflow Intelligence
Transform simple automation into adaptive systems that learn, reason, and make intelligent decisions.
Evaluation & Testing
Ensure your AI workflows work reliably by testing their performance, accuracy, and behavior.
How concepts work together
Section titled “How concepts work together”These concepts don’t exist in isolation - they combine to create powerful intelligent systems:
Smart document assistant
Section titled “Smart document assistant”- Embeddings convert documents into searchable format
- RAG finds relevant information for user questions
- Memory remembers conversation context
- Agents coordinate the entire process intelligently
Adaptive research workflow
Section titled “Adaptive research workflow”- Tool Selection chooses the right data collection methods
- Workflow Intelligence adapts to different website structures
- Memory builds knowledge over time
- Evaluation ensures quality and accuracy
Intelligent content processor
Section titled “Intelligent content processor”- Agents plan multi-step content analysis
- Embeddings enable semantic content matching
- Memory maintains context across processing steps
- Evaluation validates output quality
Learning path
Section titled “Learning path”Start here: AI Agents - Understand how intelligent automation thinks and acts
Then explore: Embeddings & Vectors - Learn the foundation of semantic search
Build knowledge: RAG - Create AI that uses your documents accurately
Add persistence: Memory & Context - Make AI remember and learn
Scale complexity: Tool Selection - Coordinate multiple tools intelligently
Create adaptability: Workflow Intelligence - Build truly adaptive systems
Ensure quality: Evaluation & Testing - Validate and improve performance
Each concept builds on the others, creating increasingly sophisticated and capable AI workflows.