Your own RAG over company documents
Search SharePoint, contracts or helpdesk history with LLMs without the source documents leaving your infrastructure. LangFlow + Ollama + Qdrant in three containers.
The building blocks for a privacy-friendly AI stack: orchestration, agent frameworks, vector databases, your own LLM interface and LLM runtime. Each component in its own Docker container, fully under Dutch law. No prompt leakage to OpenAI or Anthropic — unless you want it.
No vendor lock-in. Combine n8n for workflows, LangFlow or Flowise for agent flows, Dify as an LLM-app platform and OpenWebUI as the chat interface on your own models. Each component standalone-usable, more powerful together.
Containers run in two ISO 27001-certified data centres in the Netherlands. Optional Ollama runtime keeps prompts fully inside the EU. Cloud LLMs (OpenAI, Anthropic, Mistral) are a choice, not a requirement.
Your own API keys, your own models, your own vector database (PostgreSQL pgvector, Qdrant or Weaviate). Your own logging, your own telemetry. We manage the runtime — you keep the data and the policy.
A production AI application typically has 5 layers. We host the runtime; you design the stack.
n8n or Activepieces — connects LLMs, data systems and business processes. No Zapier data leakage, no credits meter.
n8n · Activepieces
Build agents visually with LangFlow or Flowise — drag & drop on top of LangChain. Ideal for RAG, multi-step reasoning and tool use.
LangFlow · Flowise · Dify
A ChatGPT-like interface on your own models. Per team, per project or per customer. Works with OpenAI, Claude, Mistral and local models via Ollama.
OpenWebUI
Build production LLM apps and knowledge bots with versioning, datasets and evaluation. Dify is a complete platform solution.
Dify
Your own Ollama runtime for local models (Llama, Mistral, Qwen) and a vector database for your RAG pipeline.
Ollama · pgvector · Qdrant
Search SharePoint, contracts or helpdesk history with LLMs without the source documents leaving your infrastructure. LangFlow + Ollama + Qdrant in three containers.
n8n routes tickets, Dify drives the LLM conversation, Chatwoot handles live chat. One pipeline, three containers, you keep the transcript.
OpenWebUI as chat interface on top of your own API keys. Everyone gets access to GPT-4, Claude or a local model — without prompts leaking to third parties.
n8n pulls data from your systems, an LLM summarises, n8n delivers the report via email or Teams. Not an 'AI feature' in a SaaS — your own pipeline.
Every component runs in its own Docker container with persistent volumes. Updates follow the official upstream track, your data stays yours. Combine as you like or ask for a complete-stack advice.
Workflow orchestration for AI. Connects LLMs, databases and business apps in a visual flow — without per-token credits.
Price excl. VAT
Build LangChain flows visually with drag & drop. For RAG pipelines, multi-step agents and tool use.
Price excl. VAT
Full-blown visual development platform for LangChain. Powerful editor for complex agent flows.
Price excl. VAT
Complete platform to build, version and deploy LLM applications, AI agents and knowledge bots.
Price excl. VAT
Private ChatGPT interface on your own models. Works with OpenAI, Claude, Mistral and local LLMs via Ollama.
Price excl. VAT
No-code automation as a simpler alternative to n8n. For business teams who want to weave LLMs into workflows.
Price excl. VAT
Don't need AI?
WordPress, Nextcloud, Mattermost, Vaultwarden and more as standalone Docker containers live on our Apps page.
View all Apps →AI on your own infrastructure is a decision with consequences. Here are the most asked questions.
Want a complete AI stack set up with advice on model choice and data strategy?
Book an AI strategy callAll prices are per month and exclude 21% VAT. Cancellable monthly; on cancellation you receive a data export in an open format.