Apprendre

Le glossaire de l'automatisation et de l'IA

Des définitions en langage clair des termes d'automatisation, d'IA et d'intégration que vous croisez sans cesse, et comment chacun apparaît dans de vrais flux de travail.

Automation concepts

Durable execution

Workflows that survive failures and restarts by remembering exactly where they were.

Human in the loop

Pausing a workflow for a person to approve or correct before it continues.

Idempotency

Running the same step twice has the same effect as running it once.

No-code automation

Building automated workflows visually, without writing code.

Orchestration

Coordinating many steps, services, and decisions into one reliable process.

Workflow automation

Running a multi-step process automatically, from a trigger through to the result.

AI & agents

AI agent

An AI that decides which tools to use to accomplish a goal, not just generate text.

Embeddings

Numeric representations of text that let software measure meaning and similarity.

Large language model (LLM)

A model trained on vast text that predicts and generates language.

Model Context Protocol (MCP)

An open standard for connecting AI models to tools and data sources.

Prompt

The instructions and context you give a language model to get a result.

Retrieval-augmented generation (RAG)

Grounding an LLM's answer in retrieved documents instead of its training alone.

Structured output

Forcing an LLM to return typed, schema-shaped data instead of free text.

Tool calling

Letting an LLM invoke defined functions or APIs to take real actions.

Integration patterns

API integration

Connecting software systems through their APIs so they can exchange data and actions.

ETL

Extract data from a source, transform it, and load it into a destination.

iPaaS

A cloud platform for building and running integrations between applications.

Webhook

A push notification one system sends another the moment an event happens.

Du concept au flux qui tourne

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