- 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 Choose from flexible publishing options tailored to your diverse needs, while Dify's Backend-as-a-Service handles the complexities
- 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
- Introduction - Dify Docs
Dify is an open-source platform for building agentic workflows It lets you define processes visually, connect your existing tools and data sources, and deploy AI applications that solve real problems
- What is Dify? Complete AI Bot Building Tutorial - Codecademy
Dify is an open-source platform that empowers users to build AI -native applications, such as chatbots, agents, and Q A systems, using a visual, no-code or low-code interface
- Dify is an open-source LLM app development platform. Difys intuitive . . .
The easiest way to start the Dify server is through docker compose Before running Dify with the following commands, make sure that Docker and Docker Compose are installed on your machine:
- 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
- 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
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