Dify AI

Dify AI lets you assemble AI applications on a canvas by dragging and connecting nodes for prompts, LLM calls, conditional logic, tools, and retrievers. This removes the need to stitch together scripts manually. Teams can prototype a working agentic workflow in minutes, test it visually, and push it to production from the same interface. The time savings during iteration are significant compared to code only approaches.

The platform ships with a full RAG pipeline that lets you upload documents, websites, and custom data chunks into a knowledge base. Dify AI handles chunking, embedding, and retrieval automatically. You can connect external vector stores like Qdrant or Weaviate for larger scale use cases. This means your AI apps can answer questions grounded in your own proprietary data rather than relying solely on general LLM training.

Dify AI connects to virtually every major LLM provider out of the box, including OpenAI, Anthropic, Azure OpenAI, Llama, Hugging Face, and Replicate. You can switch models mid workflow, compare outputs side by side, and even run load balancing across multiple API keys. This prevents vendor lock-in and lets you optimise for cost, latency, or quality on a per task basis.

Once your workflow or chatbot is ready, Dify AI lets you publish it instantly as a standalone web application or expose it through a REST API. The Backend as a Service layer handles hosting, scaling, and session management. This eliminates weeks of infrastructure work that would normally be required to move from prototype to a live product.

Every run through a Dify AI workflow is fully logged with input/output pairs, token usage, latency metrics, and cost breakdowns. The platform integrates with Langsmith and Langfuse for advanced tracing. Built in annotation tools let human reviewers flag and correct outputs, feeding improvements directly back into the system. This is essential for maintaining quality in production AI applications.

Unlike many SaaS only competitors, Dify AI offers a fully self hosted edition via Docker. Organisations with strict data governance requirements can run the entire stack on their own infrastructure. The Enterprise tier adds SSO, advanced role management, and dedicated support. A SOC Type II compliance report is available for regulated industries.