Question 1

What is AnythingLLM?

Accepted Answer

AnythingLLM is an open-source, full-stack RAG (Retrieval-Augmented Generation) application for private AI document chat. It acts as a frontend + document indexing layer. You upload PDFs, emails, websites, or any files. AnythingLLM chunks them, embeds them into a vector database, and retrieves relevant context when you ask questions. Then it sends those contexts + your question to an LLM (local or cloud) for an answer. It's like ChatGPT, but for your own documents, and it runs on your infrastructure.

Question 2

How do I set up AnythingLLM with Ollama?

Accepted Answer

On Opsily: Click Install on AnythingLLM. We deploy both AnythingLLM and Ollama together, pre-configured with PostgreSQL and Milvus. After 3 minutes, you log in and point AnythingLLM to Ollama as your LLM provider. Download a model via Ollama (e.g., 'ollama pull mistral'). Upload documents to AnythingLLM. Start chatting. If self-hosting: Install Docker, pull both images, set environment variables, and run docker-compose. The AnythingLLM docs have a full self-hosting guide.

Question 3

Is AnythingLLM with Ollama really private?

Accepted Answer

Yes, completely. All document data stays on your server (Opsily instance or your hardware). Ollama runs local LLM inference without contacting the internet. No API keys are sent to third parties. Your documents are never logged, indexed by search engines, or shared with anyone. The only exception: if you explicitly configure AnythingLLM to use a cloud provider (OpenAI, Anthropic), API keys stay on your server but inferences happen in the cloud. With Ollama, nothing leaves.

Question 4

What are the system requirements?

Accepted Answer

Minimum: 2 CPU cores, 4GB RAM (2GB for AnythingLLM + PostgreSQL, 2GB base for Ollama), 20GB storage. For larger models (Llama2 13B, Mistral 7B): 8-16GB RAM recommended, plus 10-20GB per model. GPUs (NVIDIA/AMD) speed up Ollama inference 5-10x but are optional. On Opsily, we run Medium plan ($40/month) instances with 4GB RAM, suitable for small to medium document sets and 7B models.

Question 5

Can I switch between local (Ollama) and cloud LLMs?

Accepted Answer

Yes. AnythingLLM supports multiple LLM providers: Ollama, OpenAI, Anthropic, HuggingFace, and others. You can switch providers in settings without touching your documents. Your documents stay on AnythingLLM. Your API keys (if using cloud providers) never leave your server. This gives you flexibility: start with Ollama, add cloud models later if budget allows, or mix both.

Question 6

How much does AnythingLLM + Ollama cost on Opsily?

Accepted Answer

Opsily hosts AnythingLLM for a team of 10 starting at $40/month (Medium plan). This includes AnythingLLM, Ollama, PostgreSQL, Milvus, daily backups, SSL, and updates. You can also run 5 apps total on the same instance (n8n, other tools, etc.) at no extra cost. If you self-host on your own server, both AnythingLLM and Ollama are free and open-source. You only pay for hosting infrastructure.

Question 7

How do I migrate from ChatGPT API to AnythingLLM + Ollama?

Accepted Answer

Export your documents from wherever they are (Google Drive, Notion, etc.) and upload them to AnythingLLM. Your chat history stays separate. If you were using OpenAI API for other workflows, you can keep using Opsily's n8n or Zapier to integrate them. AnythingLLM doesn't lock you in—you can export documents and switch tools anytime. Migration typically takes an afternoon for small teams.

Question 8

Is AnythingLLM GDPR-compliant?

Accepted Answer

Yes. Documents stay on your server in GDPR-compliant German data centers (on Opsily). No third-party tracking. No API logging. No vendor lock-in. AnythingLLM is open-source (MIT license), so you can audit the code. If you need even stricter compliance (HIPAA, FedRAMP), self-hosting on your own infrastructure is recommended.

Question 9

What models work best with Ollama?

Accepted Answer

Popular models for document chat: Llama2 (7B/13B, widely tested), Mistral (7B, fast and small), Neural Chat (7B, conversation-optimized), and OpenHermes (7B, strong reasoning). Smaller models (7B) run on 4-8GB RAM. Larger models (13B+) need 16GB+. Start with Mistral 7B if unsure—it's fast, accurate, and lightweight. Download any model via 'ollama pull [model]'. No dependencies or complex setup.

Question 10

Can I run AnythingLLM and Ollama on the same server?

Accepted Answer

Yes. On Opsily, we do this by default—both apps run on the same instance. Each app gets its own port and resources are shared. You can also run both on a single self-hosted server if it has enough RAM (8GB+). Running them together saves cost and latency (no network hops between AnythingLLM and Ollama).

Anleitung zur Einrichtung von AnythingLLM mit Ollama

Warum Opsily für AnythingLLM + Ollama

Eine monatliche Rechnung

Daten verlassen niemals Ihren Server

Ein-Klick-Bereitstellung, null Wartung

Built for teams who need reliability

Anleitung zur Einrichtung von AnythingLLM mit Ollama

Choose Your App

AnythingLLM und Ollama bereitstellen

Laden Sie Ihre Dokumente hoch

Verweisen Sie auf Ihr lokales Modell

Chatten Sie mit Ihren Dokumenten

Günstiger als ChatGPT API für Teams

Warum AnythingLLM + Ollama funktioniert

Systemanforderungen

Auswahl Ihres LLM-Modells

Flexibilität bei mehreren Anbietern

Was Sie auf Opsily erhalten

Einfache Preisgestaltung

Vertrauen & Compliance

GDPR Compliant

SOC 2 Type II

Zero-Knowledge Architecture

Open Source

99.9% Uptime

Häufig gestellte Fragen

Was unsere Kunden sagen

AnythingLLM mit Ollama noch heute bereitstellen