> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/fr/background.md).

# Contexte

Cette section fournit des informations techniques essentielles sur les technologies qui alimentent Rememberizer. Ici, vous trouverez des explications sur les embeddings vectoriels, les bases de données vectorielles et d'autres concepts clés qui permettent les capacités de recherche sémantique de Rememberizer.

Si vous rencontrez une terminologie inconnue en utilisant Rememberizer ou en lisant notre documentation, consultez notre [Glossaire](/fr/background/glossary.md) pour des définitions claires et concises des termes clés.

Pour les contributeurs et les rédacteurs techniques travaillant sur la documentation de Rememberizer, veuillez consulter notre guide de [Terminologie Standardisée](/fr/background/standardized-terminology.md) pour garantir la cohérence dans tous les documents.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rememberizer.ai/fr/background.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
