title: README
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Dify is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, Dify offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
Applications created with Dify include:
Out-of-the-box web sites supporting form mode and chat conversation mode A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort Visual data analysis, log review, and annotation for applications
Highlighted Features
1. LLMs support: Choose capabilities based on different models when building your Dify AI apps. Dify is compatible with Langchain, meaning it will support various LLMs. Currently supported:
- OpenAI: GPT4, GPT3.5-turbo, GPT3.5-turbo-16k, text-davinci-003
- Azure OpenAI Service
- Anthropic: Claude2, Claude-instant
- Replicate
- Hugging Face Hub
- ChatGLM
- Llama2
- MiniMax
- Spark
- Wenxin
- Tongyi
We provide the following free resources for registered Dify cloud users (sign up at dify.ai):
- 600,000 free Claude model tokens to build Claude-powered apps
- 200 free OpenAI queries to build OpenAI-based apps
2. Visual orchestration: Build an AI app in minutes by writing and debugging prompts visually.
3. Text embedding: Fully automated text preprocessing embeds your data as context without complex concepts. Supports PDF, TXT, and syncing data from Notion, webpages, APIs.
4. API-based: Backend-as-a-service. Access web apps directly or integrate via APIs without complex backend setup.
5. Plugins: Dify "Smart Chat" now supports first-party plugins like web browsing, Google search, Wikipedia to enable online lookup, analyzing web content, and explaining the AI's reasoning process conversationally.
6. Team workspaces: Team members can join workspaces to collaboratively edit, manage, and use team AI apps.
7. Data labeling and improvement: Visually inspect AI app logs and improve data via labeling. Observe the AI's reasoning process to continuously enhance performance. (Coming soon)
Use cases
- Create an AI ChatBot with Business Data in Minutes.
- How to Build an Notion AI Assistant Based on Your Own Notes?
- Create a Midjoureny Prompt Bot Without Code in Just a Few Minutes.
Use Cloud Services
Visit Dify.ai
Contact Us
If you have any questions, suggestions, or partnership inquiries, feel free to contact us through the following channels:
- Submit an Issue or PR on our GitHub Repo
- Join the discussion in our Discord Community
- Send an email to hello@dify.ai
We're eager to assist you and together create more fun and useful AI applications!