AI & Automation Glossary
A no-fluff glossary of the AI and automation terms business leaders are now expected to understand — LLMs, RAG, agents, RPA, MLOps and more — defined in plain English.
What's in this glossary.
A no-fluff reference for the 40+ AI and automation terms business leaders need to understand in 2026. Includes:
- Foundation models — LLMs, embeddings, fine-tuning, prompt engineering
- RAG & AI search — retrieval-augmented generation, vector databases, semantic search, re-ranking
- Agents — autonomous agents, tool use, agent orchestration, multi-agent systems
- Automation — RPA, workflow automation, intelligent document processing
- MLOps — training, deployment, monitoring, drift detection, retraining
Read it on the page — nothing to download.
The bigger picture.
Every business leader is suddenly expected to fluently discuss LLMs, retrieval-augmented generation, AI agents, fine-tuning, embeddings and a dozen other AI terms. This glossary cuts through the jargon — short, plain-English definitions for the 40+ terms that come up most in real AI and automation projects.
Use it as a reference during vendor conversations or to onboard a new team member who needs the shared vocabulary fast.
Related services.
Need help putting this
into practice?
Tell us your context in one call — a senior engineer will turn the ideas in this guide into a scoped, no-obligation plan.