Dify

Dify is a platform that helps you visually design and automate complex AI functions without coding, making it easy to create and run AI apps ranging from chatbots to document summarization to knowledge discovery.

5.0
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Launch Date
2023
Monthly Visitors
1.8M
Country of Origin
china
Platform
Web
Language
english · Japanese · Chinese

Keywords

  • Dify.ai
  • Dify platform
  • LLMops
  • RAG pipeline
  • AI agent
  • no-code AI app
  • workflow builder
  • generative AI platform
  • visual AI development
  • open source AI platform
  • AI app deployment
  • GPT integration
  • enterprise AI tools

Platform Description

Dify is an automation platform that makes it easy for anyone to build complex AI functions as apps. without knowing any code, you can visually design AI applications like chatbots, question and answer systems, and summarization tools as if you were dragging and dropping blocks. users can start with simple text input, find information in stored documents or databases, generate answers using the latest AI models (GPT-4, Claude, Llama, etc.), and output the results in the desired format, all in one automated flow. the best part about this platform is that it combines "professionalism and ease of use". beginners can easily create AI workflows through templates and visual interfaces without complicated settings, and developers can freely connect external APIs or models to extend advanced features. In particular, the RAG feature, which automatically analyzes documents and answers them with AI, and the Agent feature, which divides multiple roles to work simultaneously, are very practical for automating real-world tasks or building services. aI apps can be deployed in various forms such as web pages, chatbots, and APIs with the push of a button, and user reactions and execution results can be monitored with real-time logs, making it easy to manage operations. it even includes the ability to store and retrieve large amounts of documents or knowledge, which is especially useful for organizations to create internal knowledge chatbots or automated response systems.

Core Features

  • visual workflow builder

    easily design AI flows with drag and drop

  • RAG-based knowledge discovery capabilities

    find information in documents or data to improve AI responses

  • designing agent automation

    configure AI agents in different roles at the same time

  • model management and conversion capabilities

    easily connect and swap multiple AI models

  • app deployment hub

    deploy your AI app as an API, chatbot, and more

  • real-time monitoring and log tracking

    see operational status and errors at a glance

  • knowledge Base Features

    a data store for AI where you can upload and search documents

  • team collaboration and permissions management

    multiple users working together and setting access permissions

Use Cases

  • chatbot development
  • automating customer support
  • documentation summary
  • sentiment analysis
  • language translation agents
  • RAG-based QA system
  • automate tasks
  • build internal tools
  • create content
  • analyzing survey data
  • VoC analytics
  • automate marketing responses
  • Observe AI tools
  • automate reports
  • multi-agent workflows

How to Use

1

create a workspace

2

drag and Connect Input-RAG-LLM-Output Nodes in the Visual Canvas

3

connecting data sources and setting up models

4

running tests

Plans

Plan Price Key Features
Sandbox $0 • Discount when paying annually for all plans
• 200 message credits
• 1 team workspace
• 1 team member
• Up to 5 apps
• 50 document uploads
• 50 MB of knowledge data storage
• Up to 10 document requests per minute
• 5,000 API calls per day limit
• General article processing speed
• 10 annotation features limit
• Log retention period 30 days
• OpenAI / Anthropic / Llama2 / Azure / Hugging Face / Replicate integration available
Professional $59/mo • 5,000 message credits/month
• 1 team workspace
• 3 team members
• Up to 50 apps
• 500 document uploads
• 5 GB of knowledge data storage
• Up to 100 document requests per minute
• Unlimited API calls
• Document prioritization
• 2,000 annotation features
• Unlimited log archiving
• OpenAI / Anthropic / Llama2 / Azure / Hugging Face / Replicate integration available
Team $159/mo • 10,000 message credits/month
• 1 team workspace
• 50 team members
• Up to 200 apps
• 1,000 document uploads
• 20 GB of knowledge data storage
• Up to 1,000 document requests per minute
• Unlimited API calls
• Prioritized documentation
• 5,000 annotation features
• Unlimited log archiving
• OpenAI / Anthropic / Llama2 / Azure / Hugging Face / Replicate integration available

FAQs

  • Dify is an automation platform that makes it easy for anyone to build AI apps like AI chatbots, document summarizers, and knowledge discovery tools.
    with no coding knowledge required, you can drag and drop blocks with your mouse to connect modern AI models like GPT-4 and Claude, and design automated AI workflows that pull information from documents or databases to respond.
    the best part is that even complex business processes can be visually configured, enabling developers and non-developers alike to create AI tools that are immediately applicable to their work.
  • yes, you can.
    our free plan, Sandbox, lets you try out basic features. within your limited resources (message credits, number of apps, document storage, etc.), you're free to use most features. once you reach your resource limit, you'll be prompted to upgrade.
  • the number of credits consumed per message varies depending on the AI model used.
    - gpt-3.5-turbo / gpt-4o-mini / gpt-4.1-mini: 1 credit
    - o3-mini / o4-mini / gpt-4.1: 5 credits
    - GPT-4O: 10 credits
    - GPT-4: 20 credits
    you are free to choose which model you want to use in your settings, and if you run out of message credits, you can connect your own LLM API key to continue using it.
    note: The gpt-o1-preview and gpt-o1-mini models do not support the use of credits and can only be connected with their own API keys.
  • we have very high security standards, which are separated as follows
    - When using our cloud services: securely stored on servers in the United States.
    - With Self-hosted: where it's stored depends on the infrastructure you choose.
  • Dify offers three self-install editions
    - Community (free)
    - Premium
    - Enterprise
    the features and pricing for each version can be found on the Self-hosted Pricing page, and are also available for installation on open source GitHub.
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