Have you ever thought, "It would be great to have an AI support agent that actually knows our products," or "I'd love to turn our internal knowledge base into a Q&A bot" — and then backed off the moment you realized it meant writing code, wiring up APIs, and deploying servers? Dify exists to solve exactly that problem. This article covers what Dify is, what you can build with it, and why running it on RoamerHost is especially painless.
30-second overview
| Item | Details |
|---|---|
| What it is | An open-source LLM application development platform |
| Core capabilities | RAG knowledge base, workflow orchestration, agents |
| Coding required | No |
| Model costs | Not included in the monthly fee; bring your own API key |
| Monthly fee | NT$1,599 (2 vCPU / 10 GB) |
| Who it isn't for | If you only need rule-based replies, n8n is cheaper |
What is Dify?
Dify is an open-source LLM (large language model) application development platform built around a no-code / low-code experience. In short, it takes something that used to require an engineering team — building an AI application — and turns it into work you can do through a visual interface.
You don't need to know Python, and you don't need to understand how models work under the hood. You can drag, drop, and click your way to an AI application that holds conversations, looks things up, and handles tasks automatically, then publish it straight to colleagues or customers.
Think of Dify as the website builder of the AI application world: building a site used to mean hand-writing HTML and renting a server, and now a tool handles it in a few clicks. Dify does the same thing for AI applications.
What can you build with Dify?
Dify supports most of the common AI application types, covering nearly every scenario you'd run into in day-to-day business:
- Conversational chatbots: the most common use case, well suited to customer support, product questions, and internal Q&A assistants.
- AI agents: intelligent agents that reason on their own, call tools, and work through more complex tasks step by step.
- Text generation apps: single-shot tools built for a specific purpose, such as copywriting, translation, summarization, or email drafts.
- Workflows: a visual canvas where you chain multiple steps together into a controlled, repeatable automated process.
Built-in RAG knowledge base: let the AI answer from your data
One of Dify's most practical features is its built-in RAG (retrieval-augmented generation) knowledge base. An ordinary LLM only answers from the general knowledge it picked up during training; it has never seen your product manuals, internal policies, or latest documents. RAG is what fills that gap.
The idea is simple: you upload documents to the knowledge base, and when a user asks a question, Dify first pulls the relevant passages out of your documents and then asks the AI to answer based on that material. The result is a reply grounded in your own data instead of invented on the spot.
Dify's knowledge base accepts several document formats, including:
- PDF files (product catalogs, manuals, contract templates)
- Word documents
- Plain TXT files
With RAG, you never retrain a model. Just feed it data, and a general-purpose AI becomes an assistant that understands your business — with far less hallucination (made-up answers).
How is this different from calling the API directly?
People often ask: "Why not just call the OpenAI or Claude API directly? Why do I need Dify?" The difference comes down to how much you have to handle yourself. Here's a side-by-side comparison:
| Item | Calling the LLM API directly | Using Dify |
|---|---|---|
| Technical skill required | An engineer has to write the integration | Visual interface; non-engineers can do it |
| Prompt management | Scattered through your code, hard to tune | Edited in one place in the UI, changeable any time |
| Knowledge base / RAG | Build your own vector database and retrieval logic | Built in; just upload documents |
| Chat interface | Build your own front end | Built-in web app you can share directly |
| Exposing it to others | Design your own API and back end | Publish as a web app or API in one click |
Put simply, calling the API directly gives you maximum flexibility but leaves you carrying almost all of the surrounding engineering. Dify hands you prompt management, the knowledge base, the chat interface, and the publishing mechanism, so you can focus on what the AI should do rather than how to stitch it together.
Who is Dify for?
Dify's design is especially friendly to these groups:
- Small and medium businesses and teams: you want a support bot or internal Q&A tool quickly, without a dedicated AI engineer.
- Marketing and operations staff: you need AI assistance for copywriting, content summaries, and similar work, and want to adjust it yourself.
- Product managers and founders: you want a fast AI product prototype to validate an idea without committing heavy development resources first.
- Engineers: Dify speeds up development too, saving you from reinventing the wheel, and integrates into existing systems through its API.
Note: Dify does not provide the LLM itself. You need to bring your own LLM API key (OpenAI GPT, Anthropic Claude, Google Gemini, and so on) and configure it inside Dify before you can use it.
Advantages of running Dify on RoamerHost
Dify is open source, so in theory you can host it yourself — but that usually means providing a server, installing Docker, configuring a database, and handling domains and SSL certificates, which is a real barrier for anyone without a technical background. The RoamerHost fully managed platform takes all of that off your plate:
- One-click install, live in 60 seconds: no self-hosting, no Docker setup — create your Dify instance from the dashboard with a click.
- Isolated containers: every instance is isolated from the others, with its own resources and data, which keeps things stable and secure.
- Automatic SSL and a dedicated subdomain: you get a dedicated
*.roamerhost.comaddress with HTTPS enabled automatically, no certificate requests needed. - Monthly subscription, cancel any time: pay by credit card through NewebPay, with no long-term commitment.
All you have to focus on is building the AI application itself; RoamerHost handles the infrastructure.
How do you get started?
Turning on Dify at RoamerHost is straightforward:
- Go to the RoamerHost dashboard and sign in or create an account.
- Pick Dify from the product list and create a new instance.
- Wait about 60 seconds while the system completes the install and assigns your dedicated subdomain and SSL.
- Open your Dify URL, set up the admin account, and you're in.
- Enter your LLM API key in the settings, and you can start building your first AI application.
For plan details and pricing, see the pricing page. Want to actually build a chatbot? Read on with "Dify Tutorial: Build Your First AI Chatbot."
Frequently asked questions
Q: Does the monthly fee include AI costs?
No. This is the most commonly misunderstood point. The monthly fee is the hosting cost for the platform. You supply the API key for whichever language model you connect, and the usage charges go directly to the model provider. So there are two line items: a fixed monthly fee, plus model costs that vary with usage.
Q: Is 2 vCPU enough?
For most applications, yes. One thing to be clear about first — model inference does not run on your machine, it runs on the provider's side. Your instance handles orchestration, retrieval, and knowledge base management. What actually consumes resources is indexing uploaded documents and the number of concurrent conversations. See resource limits for how to judge it.
Q: What's the advantage over calling the API directly?
You skip building the knowledge base pipeline. Document parsing, chunking, embedding, retrieval, and reranking add up to real work if you do it yourself; Dify turns it into settings in a UI. See the knowledge base guide for how to configure it.
Q: How do I choose between Dify, Coze, and Flowise?
The main differences are where your data lives, the licensing model, and who gets to decide. Full comparison in Dify vs Coze vs Flowise.
Q: I only want a support bot. Do I need Dify?
If the answers are all written down in your documents, Dify alone is complete. But if an answer has to be looked up live in another system (orders, inventory), you also need a tool to do the fetching; see Dify plus n8n for how to split the work. Conversely, for purely rule-based needs, n8n on its own is fine and costs far less per month.
Sources and further reading
Dify's features and interface change between versions, so check the official documentation before you start:
- Dify official documentation
- Dify release notes — the authority on feature changes
- Dify source code and issue tracker
Related articles
- Dify Tutorial: Build Your First AI Chatbot
- Dify Agent Tutorial: Let the AI Decide Which Tool to Use
- Dify Hosting Pre-Purchase FAQ: Model Costs, Knowledge Bases, and Commercial Use
- Dify Plus n8n: AI Understands, n8n Executes
- Dify Hosting Resource Limits: When 2 vCPU Isn't Enough
- Dify FAQ: API Keys, Knowledge Base Tuning, and Resource Allocation
Want someone to build it for you?
If you'd rather not assemble these workflows yourself, or the scale is big enough that you want someone planning alongside you, Roamer Tech (RoamerHost's parent company) takes on contract work for business process automation and AI agent development:
