AI & Enterprise Systems Engineering Glossary
Clear, plain-English definitions and production architectural explanations of artificial intelligence terminology. Every term is defined once, rigorously cited, and grounded in real software implementation.
Architecture
(4 terms)Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is an architecture that fetches verified text chunks from an external database before generating an answer with a language model.
AI Agent
An AI agent is an autonomous software system that uses an LLM for reasoning, maintains internal state, and executes multi-step workflows via external tools and APIs.
Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open specification that standardizes how AI applications securely discover and connect to external data sources, tools, and developer environments.
Token Economics
Token economics refers to the computational cost, throughput rate, and context window optimization strategy governing LLM inference consumption.
Data
(2 terms)Embeddings
Embeddings are high-dimensional numerical vectors that capture the semantic meaning, intent, and relationships of text, code, or images.
Vector Database
A vector database is an indexing engine engineered to store, manage, and perform approximate nearest neighbor (ANN) searches across high-dimensional vector embeddings.
Security
(3 terms)AI Guardrails
AI Guardrails are deterministic validation layers that inspect, filter, and sanitize model inputs and outputs to prevent policy violations, prompt injection, and PII leakage.
Prompt Injection
Prompt injection is a security exploit where malicious untrusted text overrides system instructions to manipulate an LLM's intended behavior or exfiltrate private data.
Zero-Egress Architecture
A zero-egress architecture guarantees that private enterprise data, embeddings, and telemetry never transmit outside the client's isolated Virtual Private Cloud (VPC) or on-prem boundary.
Modeling
(3 terms)AI Hallucination
An AI hallucination occurs when a generative model outputs factually incorrect, ungrounded, or fabricated assertions with high statistical confidence.
Fine-Tuning
Fine-tuning is the process of adjusting the internal weights of a pre-trained base model by training it on a specialized, curated dataset of input-output pairs.
Large Language Model (LLM)
A Large Language Model (LLM) is a deep neural network trained on vast text corpora to understand, summarize, and generate natural language through statistical token prediction.
About Aurevion AI
Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.
Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.