Langflow

About Langflow

Langflow is an open-source low-code platform designed to simplify the creation and deployment of AI agents and retrieval-augmented generation (RAG) applications. It provides a visual editor that enables users to compose AI workflows by connecting modular components such as prompts, models, tools, vector databases, and outputs through an intuitive drag-and-drop interface. The platform supports real-time playground testing, allowing developers to iterate quickly and refine workflows without writing boilerplate code. Langflow is particularly suited for teams looking to prototype, test, and deploy AI systems efficiently, whether for building chatbots, document analysis tools, or multi-agent systems. It integrates with major large language models (LLMs), vector databases, and a growing library of AI tools, while also allowing customization through Python for advanced use cases. Workflows can be deployed as APIs, containerized for local or cloud deployment, or hosted on an enterprise-grade cloud platform, ensuring flexibility from development to production environments.

Key features

• ✓Visual drag-and-drop flow builder for AI workflows
• ✓Real-time playground for testing and debugging flows
• ✓Reusable component library for prompts, models, tools, and data stores
• ✓Python customization for extending flows while keeping them visual
• ✓API deployment and cloud/container support for production workflows
• ✓Agent and MCP server support for building and exposing AI tools
• ✓RAG workflows with LLMs, embeddings, retrievers, and vector databases
• ✓Template library for common AI app patterns
• ✓Self-hosting and cloud deployment options
• ✓Integration with external MCP servers and client tools

Use cases

• ✓Prototyping and deploying AI agents and MCP servers
• ✓Building RAG applications with document retrieval and LLM generation
• ✓Creating chatbots and document analysis systems with reusable components

Frequently asked questions about Langflow