Embedding Models - VARIOS AI

Embedding models convert text into vectors, enabling semantic search in knowledge bases. They are required for document processing and the Retrieval-Augmented Generation (RAG) approach.

Basic Data

Field	Required	Description
Image / Title	Yes	Display name and optional profile image of the model (e.g. “Azure OpenAI - text-embedding-3-small”).
Model Name	Yes	Technical model name (e.g. `text-embedding-3-small`).
Credentials	Yes	Stored credentials for the selected provider (dropdown selection).

Costs

Field	Required	Description
Cost in $ per Million Output Tokens	No	Cost per one million output tokens for cost tracking.

DLP Security Settings

Configure how the model should handle personal data.

Option	Description
enabled	GDPR protection is always active and cannot be disabled by users.
optional	GDPR protection is active by default but can be disabled by users.
disabled	GDPR protection is disabled.

ICAP DLP Integration

Connect your data exit with your enterprise DLP solution.

Option	Description
On	ICAP server is used for all content.
Off	ICAP server is not used.

Embedding models have fewer configuration options compared to chat models, as they are used exclusively for text vectorization and do not have direct user interaction.