Flowise is the leading open-source visual builder for LangChain and LlamaIndex AI workflows — making complex AI agent architecture accessible through a drag-and-drop canvas. We build production Flowise deployments for D2C brands needing RAG chatbots, document intelligence and autonomous AI agents.
Flowise is an open-source, self-hosted visual builder for LangChain and LlamaIndex workflows. It is for developers and technical teams who want to build sophisticated AI pipelines — RAG systems, autonomous agents, multi-model workflows — using a visual interface rather than pure code. It reduces the complexity of LangChain development while maintaining the flexibility of the underlying framework.
Both are open-source LLM application builders. Flowise is more developer-focused and closer to LangChain's architecture — ideal for teams already familiar with LangChain who want a visual layer. Dify is more product-focused with a better end-user interface for non-developers. Flowise typically provides more flexibility for custom LangChain flows; Dify provides better built-in product features (prompt management, knowledge base UI).
Flowise integrates with Pinecone, Weaviate, Chroma, Milvus, Qdrant, Supabase Vector and most major vector databases. We select the appropriate vector database based on your scale, self-hosting requirements and existing infrastructure.
Yes — Flowise supports API endpoints that expose your AI flows as production services, and can be deployed on scalable cloud infrastructure. We implement proper authentication, rate limiting and monitoring for production Flowise deployments.
Flowise itself is free and open-source. Costs are: cloud server hosting (£20–£100/month depending on scale), vector database hosting, and LLM API costs (OpenAI, Anthropic etc). This makes Flowise significantly cheaper than equivalent SaaS AI platforms at any meaningful usage volume.
Book a free Flowise development session and design your AI agent architecture.