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Flowise

Visual AI agent builder

Flowise offers a drag-and-drop interface to create LangChain-based agents and workflows without deep coding.

PROS

  • + Open-source and free to self-host
  • + offering complete flexibility and ownership
  • + Low-code/No-code visual drag-and-drop interface for rapid development
  • + Supports complex multi-agent orchestration and LangChain workflows
  • + Extensive integrations with LLMs
  • + vector databases
  • + and external tools (100+ sources)
  • + Includes production-ready features like observability
  • + execution traces
  • + and API/SDK deployment

CONS

  • - Managed cloud tiers (Flowise Cloud) have limits on predictions and storage in lower plans
  • - Self-hosting the open-source version requires technical expertise for setup and maintenance
  • - Beginners may still face a learning curve with advanced LLM concepts like RAG and Agentflow
  • Building custom customer support chatbots with RAG (Retrieval-Augmented Generation)
  • Rapidly prototyping and testing LLM applications and multi-agent systems
  • Creating an internal knowledge base agent by connecting to documents and vector databases
  • Deploying an AI assistant embedded directly into a web application via SDK
  • Designing complex LangChain workflows using a visual editor instead of code

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