AI Glossary
AI terms explained
Clear, practical definitions of artificial intelligence concepts. From RAG and LLMs to embeddings and vector databases—understand the technology powering modern AI systems.
Marketing
AEO (AI Engine Optimization)
Optimizing content to be discovered and cited by AI assistants like ChatGPT, Perplexity, and Google AI.
AI Architecture
AI Agent
An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve goals.
AI Architecture
AI Orchestration
Coordinating multiple AI models, tools, and services to work together in complex workflows.
Search Technology
AI-Native Search
Search platforms built from the ground up with AI, delivering direct answers instead of links.
AI Fundamentals
Context Window
The maximum amount of text an AI model can process in a single request, measured in tokens.
AI Fundamentals
Embeddings
Numerical representations of text, images, or other data that capture semantic meaning in a format AI can process.
AI Training
Few-shot Learning
Teaching an AI model new tasks by providing just a few examples in the prompt.
AI Training
Fine-tuning
The process of further training an AI model on specific data to improve performance for particular tasks.
AI Operations
Inference
The process of running a trained AI model to generate predictions or outputs from new input data.
Data Infrastructure
Knowledge Graph
A structured representation of real-world entities and their relationships, enabling intelligent information retrieval.
AI Models
LLM (Large Language Model)
An AI model trained on massive text datasets that can understand and generate human-like text.
Software Architecture
Multi-tenant SaaS
Software architecture where a single application serves multiple customers while keeping their data separate.
AI Fundamentals
Natural Language Processing (NLP)
The field of AI that enables computers to understand, interpret, and generate human language.
AI Practice
Prompt Engineering
The practice of designing effective instructions for AI models to produce desired outputs.
AI Architecture
RAG (Retrieval-Augmented Generation)
An AI architecture that combines information retrieval with text generation to produce accurate, context-aware responses.
AI Architecture
Retrieval System
A system that finds and returns relevant information from a knowledge base in response to queries.
Search Technology
Semantic Search
Search technology that understands the meaning and intent behind queries, not just keyword matching.
AI Fundamentals
Token
The basic unit of text that AI models process, roughly equivalent to 4 characters or 0.75 words.
Data Infrastructure
Vector Database
A database optimized for storing and searching high-dimensional vectors, enabling semantic search and AI applications.
AI Training
Zero-shot Learning
An AI model's ability to perform tasks it wasn't explicitly trained on, without examples.
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