DeepSeek, an open-source large language model (LLM) known for its robust multi-turn reasoning capabilities, offers a potent foundation for intelligent application development. Its high performance, cost-effectiveness, and ease of deployment make it an attractive choice for developers. By leveraging DeepSeek's API, developers can readily tap into its complex logical reasoning and content generation abilities. However, building production-ready AI applications often involves independent efforts in model adaptation, interface development, and interaction design.
Enter Dify, an open-source generative AI application development platform. Dify empowers developers to rapidly create intelligent AI applications powered by DeepSeek. With Dify, you gain access to a streamlined development experience, offering:
This article provides a detailed guide on integrating the DeepSeek API with Dify, enabling you to quickly implement two core scenarios:
For scenarios demanding high compliance, such as finance and law, Dify offers private deployment of DeepSeek and Dify, ensuring that both the model and platform are deployed within your internal network.
By combining Dify and DeepSeek, developers can bypass the complexities of underlying architecture setup and focus on delivering impactful AI capabilities, rapidly translating large language models into tangible business productivity.
Before integrating DeepSeek with Dify, ensure you have the following:
Follow these steps to integrate DeepSeek with Dify:
Connect DeepSeek to Dify
Build a DeepSeek AI Application
On the Dify platform homepage, click "Create Blank App" on the left.
Choose the "Chatbot" application type and provide a name for your application.
Select the deepseek-reasoner model (also known as the deepseek-r1 model).
Once configured, you can immediately begin interacting with the chatbot.
Enable Text Analysis Capabilities with RAG
Retrieval-Augmented Generation (RAG) is a technique that enhances the accuracy and relevance of LLM responses by retrieving information from an external knowledge source.
Create a Knowledge Base:
Upload the documents that you want the AI to analyze and process into a knowledge base.
For optimal understanding of document content, use the "Parent-Child Chunking" mode. This mode preserves the document's hierarchical structure and contextual relationships.
Refer to the Create Knowledge Base documentation for detailed configuration instructions.
Integrate the Knowledge Base into the AI Application:
Add the knowledge base to the AI application's "Context."
When a question is asked in the chat, the LLM will first retrieve relevant context from the knowledge base, summarize it, and then provide a higher-quality response.
Share Your AI Application
Once your AI application is built, you can share it with others or embed it into other websites. Refer to application publishing for detailed instructions.
Beyond simple AI applications, you can leverage Dify's Chatflow/Workflow capabilities to build more complex applications with features like file, image, and speech recognition. Refer to the following documentation for more information:
By integrating DeepSeek with Dify, you can quickly build powerful AI applications tailored to your specific needs and unlock the potential of large language models to drive innovation and productivity. Consider exploring local deployment options for even greater control and security.
