Build your AI apps visually and in France
A visual studio for LLM agents and workflows powered by Langflow, installed and maintained by DINAO. Compose your RAG pipelines via drag-and-drop — connected to your own models, hosted in France.
Was ist Langflow?
Langflow is a low-code tool for building AI applications and agents. Thanks to a visual drag-and-drop editor, you assemble components — language models, prompts, memories, tools, vector databases — to compose complex workflows without writing everything by hand.
Model-agnostic, Langflow connects as well to local LLMs (served by Ollama) as to external APIs, and provides the necessary components to build RAG (Retrieval Augmented Generation) chains on your own documents. Each flow can integrate agents capable of using tools and reasoning across multiple steps.
Once designed, a flow is exposed as a REST API or chat widget, ready to be integrated into your applications. Designed to go from prototype to production, Langflow facilitates iteration on your AI use cases while remaining open to developers via custom Python code.
Hosten Sie Langflow bei DINAO
Ressourcenstufen kompatibel mit den Anforderungen von Langflow (min. 2 vCPU / 2 Go / 10 Go). In Frankreich gehostet, vollständig gemanagt.
- 2 dedizierte vCPUs
- 4 Go RAM
- 40 GB NVMe
- Tägliche Backups
- Gemanagt & überwacht von DINAO
- 4 dedizierte vCPUs
- 8 Go RAM
- 80 GB NVMe
- Tägliche Backups
- Gemanagt & überwacht von DINAO
- 8 dedizierte vCPUs
- 16 Go RAM
- 160 GB NVMe
- Tägliche Backups
- Gemanagt & überwacht von DINAO
1 verborgene Stufe(n) (unzureichende Ressourcen für diese App) : Découverte
Diese Anwendung nutzt KI
Der Container hostet die Anwendung, nicht die KI-Engine (die dedizierte GPUs erfordert) : Die Inferenz erfolgt extern, mit Ihrem eigenen Anbieter-Schlüssel. Bevorzugen Sie eine souveräne Engine — Mistral AI, NumSpot, Scaleway oder OVHcloud AI Endpoints (Frankreich, DSGVO) ; ein internationaler Anbieter (OpenAI, Anthropic…) nur, wenn eine spezifische Anforderung dies erfordert. Inferenz-Abonnements sind im Hosting nicht enthalten.
Technische Details
Sie fragen sich…
Do I need to know how to code to use Langflow?
Not essentially: you assemble your AI workflows via drag-and-drop. But the tool remains open to developers who want to customize components in Python or integrate flows via API.
Can I use my own models?
Yes. Langflow connects to locally hosted open-weight models (Ollama) or external APIs. For sovereignty, prefer local models.
Can I do RAG on my documents?
Yes. Langflow includes components for chunking, embedding, and vector databases to query your own internal documents.
How do I use a flow in my app?
Each Langflow flow is automatically exposed as an API endpoint or chat widget, ready to be integrated into your applications and business tools.
Where is the data hosted?
On DINAO infrastructure in France, in one of the available data centers. Your flows and data do not leave the territory in local mode.
