ToolMeshToolMesh
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Dify.AI

★3.1
💬184301
💲Freemium

Dify.AI is a powerful open-source platform that simplifies the development and deployment of generative AI applications. With features like RAG pipelines, visual prompt design, and multi-LLM support, it enables teams to build scalable AI solutions for enterprise environments.

💻
Platform
web
AI AgentsAI AssistantsAI Development PlatformAI WorkflowChatbotsGenerative AILLM

What is Dify.AI?

Dify.AI is an open-source LLMOps platform designed to help developers build and operate generative AI applications. It provides tools for visual prompt management, RAG pipelines, enterprise LLMOps, BaaS solutions, LLM agents, and AI workflow orchestration. Dify supports integration with multiple LLM providers like OpenAI, Anthropic, and Hugging Face, enabling users to create chatbots, AI assistants, and custom workflows efficiently.

Core Technologies

  • LLMOps
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • AI Agents
  • Workflow Orchestration

Key Capabilities

  • Build and manage generative AI applications
  • Integrate multiple LLMs into workflows
  • Create chatbots and AI assistants
  • Design and test prompts visually
  • Deploy AI workflows for business use cases

Use Cases

  • Building industry-specific chatbots and AI assistants
  • Generating documents from structured knowledge bases
  • Creating autonomous AI agents for automation tasks
  • Developing end-to-end AI workflows for business processes

Core Benefits

  • Supports rapid development and deployment of AI apps
  • Offers enterprise-grade security and compliance
  • Provides tools for managing and refining model reasoning
  • Enables integration with multiple LLM providers
  • Facilitates collaboration through team workspaces

Key Features

  • Visual Prompt Management
  • RAG Pipeline for reliable data integration
  • Enterprise LLMOps for monitoring and refining models
  • BaaS Solution for backend integration
  • Multi-LLM Support for flexibility
  • AI Workflow Orchestration for complex tasks
  • LLM Agent Creation for automation

How to Use

  1. 1
    Use the visual workspace to design your AI app or workflow.
  2. 2
    Set up a RAG pipeline to securely integrate data into your AI models.
  3. 3
    Leverage the Prompt IDE to design and test prompts for better outputs.
  4. 4
    Monitor and refine model behavior using Enterprise LLMOps tools.
  5. 5
    Deploy your solution via BaaS or as a standalone AI application.

Pricing Plans

Sandbox

Free
Free Trial of Core Capabilities, 200 messages, Support OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate, 1 Team Workspace, 1 Team Member, 5 Apps, 50 Knowledge Documents, 50MB Knowledge Data Storage, 10/min Knowledge Request Rate Limit, 5,000/day API Rate Limit, Standard Document Processing, 10 Annotation Quota Limits, 30 Days Log History

Professional

$59 per workspace/month
5,000 messages/month, Support OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate, 1 Team Workspace, 3 Team Members, 50 Apps, 500 Knowledge Documents, 5GB Knowledge Data Storage, 100/min Knowledge Request Rate Limit, Unlimited Dify API Rate Limit, Priority Document Processing, 2,000 Annotation Quota Limits, Unlimited Log History

Team

$159 per workspace/month
10,000 messages/month, Support OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate, 1 Team Workspace, 50 Team Members, 200 Apps, 1,000 Knowledge Documents, 20GB Knowledge Data Storage, 1,000/min Knowledge Request Rate Limit, Unlimited Dify API Rate Limit, Top Priority Document Processing, 5,000 Annotation Quota Limits, Unlimited Log History

Frequently Asked Questions

Q.Can I try Dify without a paid subscription?

A.Yes, Dify offers a free trial of core capabilities with 200 messages.

Q.What LLMs does Dify support?

A.Dify supports OpenAI, Anthropic, Llama2, Azure OpenAI, Hugging Face, Replicate, and other models like Tongyi, Wenxin, Baichuan, Iflytek, ChatGLM, and Minmax.

Q.What is the RAG pipeline in Dify?

A.The RAG pipeline in Dify fortifies apps securely with reliable data pipelines.

Q.What is Enterprise LLMOps?

A.Enterprise LLMOps allows you to monitor and refine model reasoning, record logs, and annotate data.

Pros & Cons (Reserved)

✓ Pros

  • Open-source and customizable
  • Supports multiple LLMs
  • Comprehensive set of tools for building and managing AI applications
  • Enterprise-grade security and compliance
  • Facilitates rapid development and deployment

✗ Cons

  • May require technical expertise to set up and manage
  • Reliance on external LLM providers
  • Complexity in orchestrating complex AI workflows

Alternatives

No alternatives found.