Langflow is an open-source visual development environment for building multi-agent and RAG-based AI applications. Its component-based architecture lets you drag and connect LLMs, document loaders, vector databases, memory systems, and tools without writing boilerplate code. The platform handles the complexity of multi-step AI workflows - chains, agents, and retrieval-augmented generation - in a way that's fast to iterate on visually and still exports as production Python code. The DataStax-backed cloud version adds hosted vector storage and managed deployment. For data scientists and ML engineers who want rapid prototyping of LLM applications without sacrificing the ability to go deep when needed, Langflow occupies a productive middle ground between no-code builders and full-code frameworks.