Question 1

How do I add documents to open webui rag?

Accepted Answer

You can add documents to Open WebUI RAG by clicking the upload icon in the chat interface or dragging and dropping files. You can also use the '#' command followed by a URL or document name to reference specific files in your chat. Opsily ensures the backend file storage and vector database are always ready to process these uploads securely.

Question 2

Does open webui support OCR for RAG?

Accepted Answer

Yes, Open WebUI supports OCR through integrations like Tika and Docling. On Opsily, we ensure these dependencies are available so you can upload scanned documents and images. The system extracts text automatically during the ingestion process. This allows you to chat with older, non-digital native documents easily.

Question 3

How secure is my data with open webui rag on Opsily?

Accepted Answer

Your data is significantly more secure than on public SaaS platforms because your instance is isolated. We host every Open WebUI instance on a dedicated VPS in Germany. This means your vector database and documents never leave your private server environment. We provide automatic SSL and daily backups to ensure your knowledge base is both private and resilient.

Question 4

Can I use external vector databases with open webui?

Accepted Answer

Yes, while Open WebUI comes with ChromaDB by default, it supports 9 different vector databases including PGVector and Milvus. If you plan to manage over 10,000 documents, we recommend using PGVector for better performance. Our team can help you configure these external connections on your Opsily server.

Question 5

How many users can I add to my Open WebUI instance?

Accepted Answer

Opsily does not charge per user, so you can add as many team members as your server resources allow. A standard Medium plan can easily handle dozens of concurrent users chatting with documents. You can manage access levels within the Open WebUI admin panel.

Question 6

What happens if my document library grows very large?

Accepted Answer

If you exceed the storage or memory of your current plan, you can upgrade your Opsily server with one click. The upgrade process preserves all your Open WebUI RAG data and settings. For libraries exceeding 70,000 documents, we recommend moving to our Large or Unlimited plans.

Question 7

Which LLM models work best with Open WebUI RAG?

Accepted Answer

Open WebUI is model-agnostic and works perfectly with local models via Ollama or private API keys from OpenAI and Claude. For RAG specifically, models with larger context windows like Llama 3 or GPT-4o tend to perform best. You can toggle between different models for different document collections.

Privates Open WebUI RAG für Ihre sensiblen Dokumente

SaaS AI vs. Managed Open WebUI

Warum Open WebUI RAG auf Opsily nutzen?

1-Klick RAG-Setup

Gehärtete Sicherheit

Managed Backups

Built for teams who need reliability

Vom PDF zur privaten KI in Minuten

Open WebUI auswählen

Bereitstellung in Deutschland

Dokumente importieren

Chatten mit Quellenangaben

Reduzierung der KI-Kosten für Teams ab 10 Personen

Einfache Preisgestaltung. Keine nutzerbasierten Gebühren.

Dokumentensicherheit auf Enterprise-Niveau

GDPR Compliant

Dedicated VPS

Zero-Knowledge

SSL Secured

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