Agentic AI
Systems where LLM-powered agents take actions, use tools, and complete multi-step tasks autonomously.
AI glossary
Plain-English definitions for the AI-native era.
Clear, concise definitions of the terms you actually need to understand agentic AI, evals, RAG, and AI-native engineering - written by the engineers who ship them.
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Most-searched
Core concepts, defined
Multi-agent orchestration
Coordinating specialist agents through routers, planners, and supervisors to complete complex workflows.
Evaluations (evals)
Test suites that measure agent quality, safety, and behavior - used both in CI and production shadowing.
RAG (retrieval-augmented generation)
Grounding LLM output in retrieved knowledge from your data - vector search, hybrid retrieval, reranking.
AI-native engineering
An engineering discipline where LLMs and agents are first-class primitives - in code, evals, observability, and CI/CD.
100× velocity
The compound velocity gain from senior pods, AI-pair tooling, and eval-gated CI shipping AI features daily.
Guardrails
Policy, PII, and prompt-injection controls layered into agents - input filters, output validators, and human-in-loop.
Tool use
When an agent calls external functions or APIs to gather data or take actions in the real world.
FAQs
Frequently asked questions
Every term is reviewed quarterly by Techimax engineers. We update definitions as the field evolves and add new terms based on what customers and analysts are asking.
Yes - fill out the contact form with the term and a question. If it's a meaningful gap, we'll add a definition and credit the suggester.
Yes, with attribution. Please link to the original glossary entry and credit the Techimax engineering team.
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