Langflow is a low-code visual framework for building, iterating, and deploying multi-agent AI applications and Retrieval-Augmented Generation (RAG) pipelines. It provides developers with a drag-and-drop interface to orchestrate complex logic between Large Language Models (LLMs), vector databases, and external tools.

• Visualizes complex RAG architectures using a React Flow-based canvas for rapid prototyping.

• Integrates natively with LangChain to leverage existing ecosystem components and integrations.

• Supports multi-agent orchestration through specialized components for task delegation and state management.

• Enables local execution of flows via a Python-based backend or deployment through Docker containers.

• Provides built-in connectors for vector stores like Pinecone, Chroma, and Weaviate.

• Built on Python 3.10+ with a modular architecture for custom component creation.

• Exportable flow configurations as JSON files for version control and CI/CD integration.

• Designing autonomous agents capable of multi-step reasoning and tool usage.

• Prototyping enterprise-grade chatbots with specific knowledge retrieval requirements.

Install Langflow via pip and launch the local server to begin building flows in your browser.