Dify.AI

Dify is an innovative open-source platform designed for the development of Large Language Model (LLM) applications. It offers a suite of tools and services that enable users to create AI workflows and agents based on various LLMs. Dify is equipped with an advanced RAG (Retrieval-Augmented Generation) engine that orchestrates applications from simple agents to complex AI workflows. It is positioned as a more production-ready alternative to LangChain and is aimed at streamlining processes, simplifying workflows, and enhancing value delivery through its advanced open-source stack.

Dify provides a comprehensive backend-as-a-service (BaaS) solution, allowing for the integration of AI into any product through its extensive set of backend APIs. It also supports the creation of custom agents that can independently handle complex tasks using various tools. The platform is designed to be scalable, offering features that support business growth and the rapid realization of ideas with diverse application templates and adaptable orchestration frameworks.

• Dify Orchestration Studio: A visual design tool for AI applications in a unified workspace.
• RAG Pipeline: Enhances app security with reliable data pipelines.
• Prompt IDE: Enables the design, testing, and refinement of advanced prompts.
• Enterprise LLMOps: Monitors and refines model reasoning, logs, data annotation, and model fine-tuning.
• BaaS Solution: Backend as a Service for integrating AI into any product.
• LLM Agent: Custom agents that use various tools to handle complex tasks.
• Workflow: Orchestrates AI workflows for reliable and manageable results.

• Chatbots and AI Assistants: Deploy customized chatbots or AI assistants with domain knowledge for specific industries.
• Creative Document Generation: Generate clear, logical documents from knowledge bases without length limits.
• AI Completion: Seamless integration of external knowledge to unlock deeper LLM insights.
• On-premise Solutions: Ensure data security and compliance with deep integration into enterprise systems.
• Enterprise Private Knowledge Base: Leverage the enterprise''s knowledge base for intelligent search and Q&A services.

• Building customized agents for business needs with low-code tools.
• Deploying AI agents that independently use enterprise-defined tools and data to solve complex tasks.
• Flexibly orchestrating AI processes and integrating with existing systems for reliable business deployment.
• Continuous optimization of Generative AI Apps by monitoring reasoning, logging, annotating data, and fine-tuning.

• GitHub Stars: 35.8k
• Version: Latest release v0.6.12