Our agency will deploy self hosted ai with open webui and rag

Need an AI assistant that runs on your own infrastructure, with your own documents?

WZ-IT deploys self-hosted LLM and RAG stacks for companies that cannot send internal data to a US API. Open WebUI as the interface, LiteLLM as the gateway, Qdrant or pgvector for retrieval, Langfuse for tracing and cost control.

Depending on scope, we cover:

- Open WebUI with SSO, user groups and per-team model access

- LiteLLM gateway: one API for local and external models, budgets per team

- vLLM or Ollama inference, sized for your GPU or CPU budget

- RAG pipeline: ingestion, chunking, embeddings, Qdrant or pgvector

- permission-aware retrieval so users only see documents they may see

- Langfuse for tracing, evaluation and cost per team

- deployment on your GPU server, European cloud or on-premises

The hard part is not the chat window. It is making retrieval respect the permissions you already have, and knowing the real monthly cost.

Start with the consultation: one hour with both WZ-IT founders, plus a written recommendation you keep either way. Everything larger is quoted as a custom offer, scoped to what you actually need.

More of our work: wz-it.com