Summary This repository provides self-dify 2.0, a comprehensive guide for building AI applications with Dify. It targets AI developers, product managers, and students, enabling rapid setup, local Dify deployment, and custom AI assistant creation from basic to advanced functionalities.

How It Works The guide uses Docker for local Dify deployment. It systematically covers prompt engineering, RAG knowledge bases, agent workflows, and advanced features like DeepResearch, MCP, and text2sql. This structured approach facilitates progression from simple AI interactions to complex task orchestration and data analysis.

Quick Start & Requirements

• Installation: Requires Docker (Windows/Mac/Linux). Local Dify deployment via Docker Compose is the initial step.
• Prerequisites: LLM API Key (e.g., OpenAI, DeepSeek) or local Ollama recommended. Basic LLM concept familiarity beneficial.
• Resources: Setup involves Docker installation and Dify deployment; specific resource footprints are not detailed.
• Documentation: Tutorial links are indicated by placeholders (📖) within the table.

Highlighted Details

• Practical applications: "Guess the Case," "Sweet Talker," "New Student Admission Guide," "Xiaohongshu Reading Card," "Interview Compendium."
• Advanced features: Agent workflows, DeepResearch, MCP, text2sql for database interaction, echart data analysis.
• Includes multi-modal (voice-to-text) module.
• Tutorials tiered by difficulty (Basic ⭐ to Advanced ⭐⭐⭐⭐).

Maintenance & Community Maintained by Datawhale, an open-source AI learning organization. Key contributors listed. Contributions (bugs, suggestions, PRs) welcomed. No specific community channels provided.

Licensing & Compatibility Licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). This copyleft license permits commercial use, requiring derivative works to be shared under the same terms.

Limitations & Caveats The guide assumes adherence to its structured learning path. Specific documentation links are absent from the README text. No information on alpha status, known bugs, or deprecations is present.