As an open-source generative AI application development platform, Dify empowers developers to build smarter AI applications leveraging DeepSeek LLMs. The Dify platform delivers these key development experiences:
This guide details DeepSeek API integration with Dify to achieve two core implementations:
For compliance-sensitive industries like finance and legal, Dify offers Private Deployment of DeepSeek + Dify: Build Your Own AI Assistant:
- Synchronized deployment of DeepSeek models and Dify platform in private networks
- Full data sovereignty assurance
The Dify × DeepSeek integration enables developers to bypass infrastructure complexities and directly advance to scenario-based AI implementation, accelerating the transformation of LLM technology into operational productivity.
Visit the DeepSeek API Platform and follow the instructions to request an API Key.
If the link is inaccessible, consider deploying DeepSeek locally. See the local deployment guide for more details.
Dify is a platform that helps you quickly build generative AI applications. By integrating DeepSeek’s API, you can easily create a functional DeepSeek-powered AI app.
Go to the Dify platform and navigate to Profile → Settings → Model Providers. Locate DeepSeek, paste the API Key obtained earlier, and click Save. Once validated, you will see a success message.
deepseek-reasoner
model.The deepseek-reasoner model is also known as the deepseek-r1 model.
Once configured, you can start interacting with the chatbot.
Retrieval-Augmented Generation (RAG) is an advanced technique that enhances AI responses by retrieving relevant knowledge. By providing the model with necessary contextual information, it improves response accuracy and relevance. When you upload internal documents or domain-specific materials, the AI can generate more informed answers based on this knowledge.
Upload documents containing information you want the AI to analyze. To ensure DeepSeek accurately understands document content, it is recommended to use the Parent-Child Segmentation mode. This preserves document hierarchy and context. See Create a Knowledge Base for detailed steps.
In the AI app’s Context settings, add the knowledge base. When users ask questions, the LLM will first retrieve relevant information from the knowledge base before generating a response.
Once built, you can share the AI application with others or integrate it into other websites.
Beyond simple chatbot applications, you can also use Chatflow or Workflow to build more complex AI solutions with capabilities like document recognition, image processing, and speech recognition. See the following resources for more details:
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