Dify AI Development

Dify AI Development Agency — LLM Applications Built Without Infrastructure Complexity

Dify is the fastest-growing open-source LLM application platform — providing a visual environment for building RAG pipelines, AI chatbots, agentic workflows and multi-step AI applications. We build and deploy Dify applications that deliver production AI capabilities without the overhead of building LLM infrastructure from scratch.

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Dify RAGAI ChatbotsWorkflow BuilderKnowledge BaseMulti-Model SupportClaude IntegrationGPT-4oSelf-HostedAPI AccessAgent WorkflowsPrompt EngineeringDataset ManagementDify RAGAI ChatbotsWorkflow BuilderKnowledge BaseMulti-Model SupportClaude IntegrationGPT-4oSelf-HostedAPI AccessAgent WorkflowsPrompt EngineeringDataset Management
DIFY AI

Production LLM Applications. No Infrastructure Team Required.

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RAG Knowledge Base Pipeline
Dify RAG pipelines configured with your documents, product data, policies and content — enabling AI chatbots and agents to answer questions grounded in your actual business knowledge.
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AI Chatbot Development
Customer-facing AI chatbots built on Dify — configured with your LLM of choice (Claude, GPT-4o, Gemini), trained on your knowledge base and deployed to your website.
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Agentic Workflow Design
Multi-step AI workflows built in Dify's visual workflow editor — orchestrating LLM calls, tool use, conditional logic and output processing in complex AI pipelines.
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Self-Hosted Deployment
Dify deployed on your own infrastructure for complete data ownership — Docker-based deployment on AWS, GCP or Azure with your own API keys and data residency.
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Integration & API Access
Dify applications exposed via REST API — integrating your AI features with existing products, websites and internal tools without rebuilding the LLM application layer.
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Prompt Engineering & Optimisation
Systematic prompt development, testing and version management in Dify — improving AI output quality through structured evaluation before production deployment.

Frequently Asked Questions

Dify is an open-source platform for building and operating LLM applications. Building directly with the OpenAI API requires coding the application layer, RAG infrastructure, prompt management, conversation history, API exposure and monitoring from scratch. Dify provides all these as a platform — reducing LLM application development time from weeks to days while maintaining the flexibility to customise with code.

Dify supports OpenAI (GPT-4o, GPT-3.5), Anthropic Claude, Google Gemini, Mistral, Llama and most major LLMs via API. Multi-model applications can use different models for different tasks — for example, a fast, cheap model for simple queries and a powerful model for complex reasoning.

Both options are available. Dify Cloud is fully managed with a free tier. Dify Community Edition can be self-hosted on your own infrastructure via Docker, giving complete data ownership and zero per-call pricing beyond your API costs. We recommend self-hosted for brands with data residency requirements or high-volume use cases where API cost management matters.

Dify's RAG pipeline takes your documents (PDFs, web pages, Notion exports, databases) and creates a vector knowledge base. When a user asks a question, Dify retrieves the most relevant document chunks and includes them in the LLM prompt — enabling the AI to answer questions based on your specific content rather than general training data.

Yes — Dify applications can be embedded in websites (chat widget), accessed via REST API from your applications or deployed as standalone web apps. Dify Cloud handles hosting for managed deployments. Self-hosted Dify runs in your own infrastructure for full production control.

SCALE

Build Production AI Applications Without Building the Infrastructure

Book a free Dify scoping session and design your LLM application architecture.

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