- Dify: Leading Agentic Workflow Builder
Dify offers everything you need — agentic workflows, RAG pipelines, integrations, and observability — all in one place, putting AI power into your hands
- GitHub - langgenius dify: Production-ready platform for agentic . . .
Dify is an open-source platform for developing LLM applications Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move from prototype to production
- Dify: A Guide With Demo Project | DataCamp
What Is Dify? Dify is a platform designed to simplify the development of AI applications without requiring extensive coding skills It provides a user-friendly, low-code environment where users can build apps by dragging and dropping different components
- Welcome to Dify | Dify
Dify is an open-source platform for building AI applications We combine Backend-as-a-Service and LLMOps to streamline the development of generative AI solutions, making it accessible to both developers and non-technical innovators
- Hello Dify - Dify Tutorials with Best Practice
Dify tutorials, guides, and best practices for building AI workflows and applications with Dify
- Releases · langgenius dify - GitHub
In Dify 2 0, we are introducing two major new capabilities: the Knowledge Pipeline and the Queue-based Graph Engine This is a beta release, and we hope to explore these improvements together with you and gather your feedback
- Dify-AI (Dify. AI) - Hugging Face
Dify is an LLM application development platform that has already seen over 100,000 applications built on Dify AI It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine
- What is Dify? Features, Usage, Case Studies and More | Heysho
What is Dify? A comprehensive guide explaining the features, usage, and applications of this open-source LLMOps platform in an accessible way for beginners and technical users alike
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