Preview Thumbnail


  • 2023-07-30 15:30
  • GitHub


  • Category : Low-Code/No-Code


  • Dialogic Form: It can answer specific questions based on the company's documents.
  • Language Conversion: It can convert natural language to SQL and one programming language to another.
  • Text Summarization: It can help summarize the key information of any text.
  • Contextual AI: It uses documents, webpages, and Notion content as the context for AI, automatically completing text preprocessing, vectorization, and segmentation.
  • ChatGPT Plugins Compatibility: It brings rich tool capabilities to applications, including search, database connection, sensitive word avoidance, and API access.
  • Support for GPT-4 and Other Models: It natively supports the GPT family and Claude models, compatible with all LLMs supported by LangChain.
  • Visual Composition: It provides rich functionality for many scenarios, all through a graphical user interface.
  • APIs: It offers a simple set of APIs based on the back-end as a service concept.
  • Continuous Improvement and Operation: It allows AI applications to run not in a black box state, visually checking logs and annotating data to improve them, and observing the reasoning process of AI.
  • Application Types and Templates: Dify natively provides two types of applications: dialogue and text generation. Both have been open sourced on GitHub.


Dify is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. It allows teams to develop AI applications based on models such as GPT-4 and operate them visually. The platform is capable of creating AI-powered apps in minutes for both internal team use and external release.

In summary, Dify is a platform that provides a smooth experience for model access, context embedding, cost control, and data annotation, enabling the creation of AI applications.