LangFlow is the visual builder for LangChain with over 146,000 GitHub stars, providing a drag-and-drop interface for creating multi-agent AI applications, RAG pipelines, and complex LLM workflows without writing extensive boilerplate code.
The visual canvas lets developers connect modular components — LLMs, prompt templates, vector stores, tools, agents, and chains — by dragging and dropping. Each component is configurable through the UI, and flows can be exported as executable LangChain code or deployed directly as APIs.
Supports all major LLM providers including OpenAI, Anthropic, Google, and local models through Ollama. Vector store integrations cover Pinecone, Chroma, Weaviate, Qdrant, and more. Built-in components include document loaders, text splitters, embeddings, retrievers, and output parsers.
Python-based custom components extend the platform beyond built-in capabilities. Real-time interaction allows testing flows directly in the UI with a chat interface before deployment.
DataStax acquired LangFlow and offers a hosted cloud version alongside the open-source self-hosted option. Particularly valuable for teams prototyping AI workflows and transitioning from prototypes to production.
