AI Glossary
The most important terms in AI and automation — clearly explained.
AI Agent
An autonomous software system that uses AI to perceive its environment, make decisions and take actions — independently and across multiple steps.
RAG (Retrieval Augmented Generation)
An AI architecture that combines LLMs with a searchable knowledge base. The AI retrieves relevant documents before generating an answer — resulting in accurate, source-cited responses.
LLM (Large Language Model)
A large language model (e.g. GPT-4, Llama 3, Mistral) that processes and generates text. The basis for modern AI agents and chatbots.
Self-Hosted LLM
A language model that runs on your own (or managed) infrastructure — not on the cloud of OpenAI, Google or Microsoft. Key for GDPR compliance.
n8n
An open-source workflow automation platform. RakenAI uses self-hosted n8n to build privacy-compliant automation pipelines.
GDPR
General Data Protection Regulation — the European data protection law that applies to all companies processing personal data of EU citizens.
DSG
Datenschutzgesetz — the Swiss Federal Act on Data Protection, revised in 2023, largely aligned with GDPR requirements.
CRM
Customer Relationship Management — software for managing customer interactions (HubSpot, Salesforce, Zoho, etc.).
Lead Qualification
The process of determining whether a potential customer (lead) meets the criteria for a product or service. In clinics: does this patient match our treatment profile and budget range?
No-Show
A patient who has an appointment but does not appear and does not cancel. Costs clinics significant revenue. Automated reminders can reduce no-shows by up to 40%.
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