Dify is an open-source platform for building LLM applications with a visual workflow editor, RAG pipelines, AI agents, and 50+ built-in tools. Production Dify needs PostgreSQL, Redis, a vector database, worker processes, a code sandbox, and an NGINX gateway. We deploy and operate the full stack. You build AI applications.
Dify is an open-source platform for building LLM applications. Visual workflow editor, RAG pipeline engine, AI agent framework with 50+ tools, multi-model support (Anthropic Claude, OpenAI, Ollama, and hundreds more), and Backend-as-a-Service API deployment. 60,000+ GitHub stars, $30M in funding, used by enterprises from fintech to automotive. Managed hosting gives teams the production stack without the DevOps overhead.
Dify lets teams build chatbots, knowledge assistants, document processors, and AI agent workflows using a drag-and-drop canvas. Applications deploy as APIs or web interfaces with one click. You connect your own model providers — Anthropic, OpenAI, Google, or self-hosted models through Ollama — and keep full control over cost and data flow.
Retrieval-Augmented Generation is how AI applications answer questions from your documents instead of hallucinating. Dify has a built-in RAG pipeline that ingests PDFs, text files, and web content into a vector database. Production RAG needs Weaviate (or a similar vector store) running alongside PostgreSQL and Redis. That is three databases to manage before you write a single prompt.
A Dify production stack includes: API server, web frontend, worker processes, PostgreSQL, Redis, Weaviate, code sandbox, plugin daemon, and NGINX gateway. Each service has its own resource needs, failure modes, and update cadence. Managed hosting means all eight services are deployed, monitored, backed up, and updated as a single managed platform.
Dify applications often ingest sensitive business documents, customer data, and internal knowledge. When self-hosted, all data stays on your infrastructure. On our platform it stays in Germany within EU jurisdiction. For teams under GDPR or with data residency requirements, this is the default, not an add-on. Dify Cloud sends data to their servers. Self-hosted does not.
Dify Cloud limits model access and data location. A raw VPS requires managing eight interconnected services. Managed hosting gives you the full platform without either trade-off.
PostgreSQL, Redis, Weaviate, workers, sandbox, plugin daemon, and NGINX gateway deployed, configured, monitored, and maintained as a single managed platform. Not a one-click template that leaves the operations to you.
Connect Anthropic Claude, OpenAI, Google Gemini, Mistral, Ollama for local models, or any OpenAI-compatible API. Unlike Dify Cloud, you control provider choice, API keys, and costs directly. No bundled credits or markup.
Dify's RAG pipeline needs a vector database. We deploy and manage Weaviate alongside PostgreSQL and Redis. Document ingestion, embedding storage, and semantic search work out of the box without your team managing another stateful service.
Documents, embeddings, conversation history, and application data stay in Germany within EU jurisdiction. Dify Cloud hosts data on their infrastructure. Self-hosted on our platform means your data never leaves your control.
Dify releases frequently with new model support, workflow capabilities, and plugin features. We apply stable updates within 48 hours, tested against the full multi-service stack. Your team does not need to coordinate Docker Compose updates across eight services.
Every Dify environment runs the full production stack — eight services deployed, configured, and monitored together.
Dify API, web frontend, workers, PostgreSQL, Redis, Weaviate, code sandbox, plugin daemon, and NGINX gateway. All deployed in Docker with proper networking, health checks, and restart policies. Not a single container — a production architecture.
Document ingestion, embedding storage, and semantic retrieval powered by a managed Weaviate instance. Memory limits configured for the dataset size. Your RAG pipelines work without your team managing another stateful database.
Connect Anthropic Claude, OpenAI, Google Gemini, Mistral, DeepSeek, Ollama, or any OpenAI-compatible API. You own the provider relationship and control costs. No bundled credits, no markup, no vendor lock-in.
API server health, worker status, PostgreSQL connections, Redis memory, Weaviate health, sandbox process state, and NGINX gateway metrics monitored 24/7. Alerting on Business tier. Issues caught before users report them.
Daily backups covering PostgreSQL (applications, workflows, credentials), Weaviate (embeddings and vector data), Redis state, and environment configuration. Restore support on Team and Business means a failed update does not require rebuilding the entire stack.
Dify updates can require changes across multiple services simultaneously. We test and apply stable releases within 48 hours, coordinating updates across API, workers, web, and supporting services. Your team does not manage Docker Compose version bumps.
Dify's value is clear: build AI applications fast with a visual editor. The infrastructure challenge is what stands between that promise and production reality.
Most self-hosted tools are a single Docker container. Dify is eight interconnected services with three databases.
Each service has its own resource requirements, failure modes, and update schedule. When Weaviate runs out of memory, RAG stops working. When workers stall, document ingestion hangs. When PostgreSQL connections leak, the API returns errors. Monitoring and maintaining eight services requires operational discipline that most application teams do not want to own.
Three paths with different trade-offs in control, data location, and operational overhead.
Free sandbox with 200 messages. Paid plans starting at $59/month. Convenient but limited: data hosted on Dify's infrastructure, fewer model provider options, no access to the underlying stack, execution limits on lower tiers.
Full control, full responsibility. Community Edition is free. Infrastructure cost: €20-80/month for adequate compute. But you manage Docker Compose for eight services, PostgreSQL tuning, Redis configuration, Weaviate memory management, TLS setup, backup scripts across three databases, and coordinated updates. Realistic DevOps overhead: 3-5 hours per week.
Starting at €24.99/month. Full Community Edition with no message limits. PostgreSQL, Redis, Weaviate, workers, sandbox, and gateway managed as a single platform. Data stays in Germany. Updates applied within 48 hours. Your team builds applications. We operate the infrastructure.
Dify is not just another chatbot builder. It is a platform for production AI applications with workflows, RAG, agents, and API deployment.
All deployed through the Dify visual editor and exposed as APIs or web interfaces. Connected to your choice of model provider. Running on infrastructure in Germany.
If you know your expected use case, model providers, or compliance requirements, send us the details and we will recommend the right tier in writing.
Dify is an open-source platform for building LLM applications. It includes a visual workflow editor, a RAG pipeline engine for document-grounded AI, an agent framework with 50+ built-in tools, multi-model support (Anthropic Claude, OpenAI, Google Gemini, Mistral, Ollama, and hundreds more), and API deployment for any application you build. Over 60,000 GitHub stars and $30M in funding. Used by enterprises from fintech to automotive.
Dify Cloud hosts everything on their infrastructure with execution limits on lower tiers. Managed Dify on Yhost runs the full Community Edition on infrastructure in Germany. You get unlimited usage, full data control, any model provider, and the underlying stack (PostgreSQL, Redis, Weaviate) managed for you. No data leaves EU jurisdiction at the platform layer.
Dify is not a single container. It requires eight interconnected services: API, web frontend, workers, PostgreSQL, Redis, Weaviate, code sandbox, and plugin daemon, plus an NGINX gateway. Getting them running takes a day. Keeping them running, monitored, backed up, and updated across all services takes ongoing operational attention.
Any provider that Dify supports: Anthropic Claude, OpenAI, Google Gemini, Mistral, DeepSeek, Cohere, and hundreds more via the OpenAI-compatible API standard. You can also connect Ollama for self-hosted local models. You bring your own API keys, control costs directly, and switch providers at any time.
Weaviate stores document embeddings for Retrieval-Augmented Generation. When you upload documents to a Dify knowledge base, they are chunked, embedded, and stored in Weaviate. When a user asks a question, Dify searches the vector database for relevant chunks and passes them to the LLM alongside the question. This is how AI applications answer from your data instead of hallucinating.
Yes. Dify applications deploy as web chat interfaces or REST APIs. You can embed the chat widget on your website, integrate the API into your product, or use it as a backend for a custom frontend. On Team and Business tiers, custom domains are supported.
Stable upstream releases within 48 hours, tested across all eight services before deployment. Dify updates can require coordinated changes to API, workers, web, and database schema. We handle the multi-service update orchestration. Critical security patches applied faster.
Yes. We review the current setup, export applications, knowledge bases, and configuration, deploy on the managed platform, and validate that everything works before the switch. Dify's export and import capabilities cover workflow definitions, app configurations, and dataset structures.
All environments run in Germany within EU jurisdiction. Application data in PostgreSQL, document embeddings in Weaviate, and cache in Redis all stay on the same infrastructure. No data leaves the platform. For GDPR-conscious teams, this is the default on all tiers.
Yes. Start with Builder at €24.99 for a single Dify environment with the full stack. Move to Team when you need more capacity, execution logs, and plugin support. Step into Business when concurrent load, monitoring with alerting, and priority support become important. Same platform, no migration required.
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