Langflow

Langflow is a low-code platform designed to help developers build, test, and deploy AI applications. Its core function is to let you create AI agents and Retrieval-Augmented Generation (RAG) systems using a visual, drag-and-drop interface. Instead of writing extensive boilerplate code, you connect components representing data sources, language models, logic steps, and tools to form a complete workflow or 'flow'.

It works by providing a library of pre-built components for major LLMs (like OpenAI, Anthropic, and open-source models), vector databases, and common data sources. You can swap models, adjust parameters, and test iterations in real-time. A key feature is the ability to use Python for deep customization, giving you control while the visual builder handles the structure. Built flows can be deployed as APIs or run as interactive agents, and you can share them with a team or choose from a community library.

This tool is for AI developers and engineering teams who need to move from experimental notebooks to production-ready applications. It's useful for companies building customer support chatbots, internal research assistants, or any system that requires connecting AI models to specific data and tools. By simplifying the assembly of complex AI parts, Langflow lets teams focus on the application's purpose rather than the underlying code.