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Dify

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Dify

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Build and ship LLM applications from a visual workflow editor.

AI & Machine LearningCCompassPad editorial

Dify is a platform for building applications on language models. The core surface is a visual workflow editor where a pipeline is assembled from nodes: a model call, a retrieval step, a conditional branch, a code node, and an output. The same project can be exposed as a chat application, an API, or an embedded widget. The retrieval layer is built in. Documents are uploaded, chunked, embedded, and indexed, and a knowledge base can be attached to a node so a pipeline answers from your own material. Prompt templates, variables, and model configuration are part of the workflow rather than scattered through application code. The platform is open source and can be self-hosted, which is why some teams adopt it over a hosted orchestration service. The tradeoff is that a visual pipeline is harder to review and version than code, so teams building something complex often move the final implementation into their own codebase once the shape is settled.