Langflow

Low-code AI builder for agentic and RAG applications.

Visit Website →

Overview

Langflow is an open-source, graphical user interface for LangChain. It provides a node-based, drag-and-drop environment where users can visually construct and experiment with LangChain components like chains and agents. This makes it easy to prototype, debug, and share complex LLM workflows, including RAG pipelines, before deploying them.

✨ Key Features

  • Open source
  • Visual, node-based editor for LangChain
  • Drag-and-drop interface
  • Real-time debugging and inspection of flows
  • Marketplace of components and examples
  • Export flows to Python code

🎯 Key Differentiators

  • Deeply integrated with the Python version of LangChain
  • Focus on a clean, intuitive UI for developers
  • Ability to export flows directly into runnable Python code

Unique Value: Provides a highly interactive and visual way to work with the LangChain framework, dramatically speeding up the prototyping and experimentation cycle for complex RAG and agentic systems.

🎯 Use Cases (4)

Prototyping and experimenting with LangChain Visualizing complex agentic workflows Building RAG application prototypes Learning LangChain in an interactive way

✅ Best For

  • Internal tool development
  • Educational workshops for LLM development

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Directly deploying mission-critical, high-traffic applications

🏆 Alternatives

Flowise AI Dify

Langflow is more tightly coupled with the Python LangChain ecosystem compared to Flowise AI, which has a broader set of integrations. This makes Langflow a more natural choice for Python-centric development teams.

💻 Platforms

Web Desktop

✅ Offline Mode Available

🔌 Integrations

LangChain LlamaIndex OpenAI Hugging Face Vector databases via LangChain API

🛟 Support Options

  • ✓ Live Chat

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source is free.

Visit Langflow Website →