No maintenance required! Dify+Ollama point-and-click to build DeepSeek large models, amazing!!!
No need for operation and maintenance, easily build a private large model! Dify+Ollama, even a technical novice can get started.
Core content:
1. Analysis of the advantages of the Dify+Ollama combination, realizing "out-of-the-box" private AI deployment
2. Dify: a visual AI application development platform, no code foundation required
3. Ollama: one-click deployment of open source large models, supporting private deployment
That's right! Using Rainbond Cloud to deploy dify + Ollama allows ordinary people to easily build private large models without having to worry about complex operations and maintenance. It can be called a "tech-novice-friendly" tool. The following is a specific operation guide and advantage analysis to teach you how to play with private large models step by step.
Introduction to Dify and Ollama
Dify provides a visual interactive interface, and Ollama solves the problem of model deployment. The combination of the two realizes an "out-of-the-box" private AI deployment solution.
1. Dify
An AI application development platform for developers and enterprises, which allows creativity to become reality instantly and quickly create various intelligent applications such as AI assistants and online travel assistants.
No code required, visually orchestrate workflow Quickly build AI assistant/intelligent customer service/industry-specific applications Enterprise-level rights management and data isolation
2. Ollama
An open source, cross-platform tool designed for quickly deploying and running large language models (LLMs).
One-click deployment of mainstream open source large models (Llama3/DeepSeek, etc.) Support private deployment Support CPU/GPU hybrid reasoning
Prerequisites
Don’t panic! First, complete the small step of registering and logging into a Rainbond Cloud [1] account. Registration provides a free trial quota.
If you don’t know how to deploy Dify, don’t worry. The previous article has already explained it in detail. Click to view the previous article Dify deployment and use
Install Ollama
Step 1 : After successfully completing the installation of Dify, install Ollama. Click the [Add Component] button in the application overview interface, select "Open Source App Store" after opening it, and search for "Ollama" to install it.
Step 2 : After installation, the Ollama component will appear in the topology map. After the status turns green, click the [Ollama] component. A pop-up window will appear. Click the pop-up window title to enter the component view.
Step 3 : Click [Web Terminal] to execute the command to install the large model. After the execution is completed, enter "Who are you" in the terminal. The model will reply that the installation is successful.
ollama run deepseek-r1:1.5b
Step 4 : Copy the "access address" of the port in the above picture. Click the avatar [Settings] in the upper right corner of the Dify page, find Ollama in the model supplier, fill in the model name and access address, and save it.
You can read my previous article to practice and build an AI assistant
Summarize
The combination of Dify and Ollama is a great savior for technical novices! It breaks the high threshold of building private large models, allowing ordinary people without a deep technical background to easily participate. With a few simple steps, you can deploy large models in your own environment and realize personalized application development. Don't hesitate, hurry up and practice with Dify and Ollama!
