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Dify's core technology stack

Popularity：307 ℃/2025-03-10 12:01:47

Dify's technology stack covers multiple levels, combining cutting-edge AI frameworks, mature development tools and efficient deployment solutions.

Here is its core composition:

 

1. Infrastructure and backend technology

  1. Programming Languages ​​and Frameworks

    • Python + Flask: Backend services are mainly developed based on Python and use the Flask framework to build a RESTful API interface.

    • Celery: used for asynchronous task processing, supports distributed task queue management, and improves the execution efficiency of complex workflows.

  2. Database and storage

    • PostgreSQL: As a core relational database, it stores structured content such as application data and user information.

    • Redis: used for caching and session management, optimize the performance of high-frequency access scenarios.

    • Weaviate: As a vector search engine, it supports the document retrieval capabilities of the RAG (retrieval enhancement generation) pipeline.

2. Front-end technology

  • React + ReactFlow: The front-end interface is developed based on React, and ReactFlow is used to visualize orchestrate AI workflows (such as Chatflow and Workflow).

  • TypeScript: Combined with React to implement type-safe component development to improve code maintainability (inferred based on the technology stack).

3. Deployment and operation and maintenance tools

  • Docker: Container deployment of back-end services and dependent components to simplify environment configuration.

  • Nginx: As a reverse proxy server, handles HTTP requests load balancing and static resource services.

4. AI-related technology stack

  • Multi-model support: compatible with hundreds of LLMs (such as GPT, Claude, etc.), and supports flexible switching of models.

  • RAG engine: Built-in high-quality search-enhanced generation pipeline, supports document parsing (PDF, PPT, etc.), vectorized storage and semantic search.

  • Agent framework: Define agents based on ReAct or function calls, providing 50+ built-in tools (such as Google search, image generation, etc.).

V. Other key technologies

  • Task scheduling and monitoring: Asynchronous task scheduling is realized through Celery, and LLMOps (model effect tracking and optimization) is realized in combination with the log system.

  • Permissions and security: Supports mechanisms such as OAuth, RBAC, etc., and ensures data control through Docker isolation environment.

 

summary
Dify's technology stack design takes into account development efficiency and production needs. From front-end interaction to back-end processing, from data storage to AI capability integration, all adopt mature open source solutions, and at the same time, the threshold for use is lowered through modular design.
More details can be explored through its open source code (/langgenius/dify).

 

  • Online IPFS Storage
  • Ether ETH Unit Converter
  • Ethereum address conversion
  • Image extraction text
  • Web firewall detection
  • Domain name open port detection

Link：/farwish/p/18762336

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