M4A

Flowise

Open-source visual builder for LangChain applications

freemiumproductiontypescriptno-codevisual-builderopen-sourcelangchain
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Memory Types

episodic, semantic, conversation

Integrations

langchain, openai, anthropic, pinecone, weaviate, qdrant


Overview


Flowise is an open-source visual application builder for creating LangChain-based LLM applications through a drag-and-drop interface. It makes advanced LLM capabilities accessible to non-programmers while still providing the full power of LangChain under the hood. Flowise has gained popularity for enabling rapid prototyping and lowering the barrier to entry for AI development.


The platform provides pre-built components for common LLM patterns like RAG, agents, and chatbots, which can be connected visually to create sophisticated applications. Flowise applications can be exported as APIs, embedded in websites, or deployed standalone, making it versatile for different use cases.


Key Features


  • **Visual Flow Builder**: Drag-and-drop interface for LLM apps
  • **LangChain Components**: Access to full LangChain ecosystem
  • **Chat Interface**: Built-in chat UI for testing
  • **API Deployment**: Export flows as REST APIs
  • **Embeddings**: Visual embedding and vector store setup
  • **Agent Builder**: Create agents with tools visually
  • **Template Library**: Pre-built templates for common use cases
  • **Self-Hostable**: Deploy on your own infrastructure

    • When to Use Flowise


    Flowise is ideal for:

  • Rapid prototyping of LLM applications
  • Teams with non-technical members
  • Learning LangChain concepts visually
  • Quick demos and MVPs
  • Internal tools where speed matters more than code quality
  • Testing different LLM configurations easily

    • Pros


  • No coding required for basic applications
  • Very fast prototyping
  • Lowers barrier to entry for AI development
  • Good for learning LangChain concepts
  • Active open-source community
  • Self-hostable and open-source
  • Export to API for integration
  • Regular updates with new components

    • Cons


  • Limited compared to coding LangChain directly
  • Visual complexity grows with application complexity
  • Less control than code-first approaches
  • Performance overhead from abstraction layers
  • Not ideal for complex production applications
  • Debugging can be challenging
  • Version control is more difficult
  • Less suitable for large-scale applications

    • Pricing


  • **Open Source**: Free, Apache 2.0 license
  • **Flowise Cloud**: Managed hosting (pricing TBA)
  • **Self-Hosted**: Free to deploy anywhere

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