Chapter 2: Platform Architecture

Welcome to Chapter 2: Platform Architecture. In this part of Langflow Tutorial: Visual AI Agent and Workflow Platform, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.

Langflow combines a visual editor, execution runtime, and deployment surfaces in one platform.

Architecture View

flowchart LR
    A[Flow Builder UI] --> B[Flow Graph Engine]
    B --> C[Model and Tool Integrations]
    C --> D[Playground and Testing]
    D --> E[API and MCP Exposure]

Core Layers

Layer	Purpose
visual authoring	rapid flow composition and iteration
flow runtime	executes node graph with state
integrations	models, vector stores, tool connectors
deployment surfaces	API endpoints and MCP server exposure

Source References

• Langflow Docs
• Langflow Repository

Summary

You now understand where to place design, logic, and deployment concerns in Langflow.

Next: Chapter 3: Visual Flow Builder

How These Components Connect

flowchart TD
    A[Langflow platform] --> B[React frontend]
    A --> C[FastAPI backend]
    B --> D[Flow canvas drag-and-drop]
    C --> E[Flow executor]
    C --> F[Component registry]
    E --> G[LangChain runtime]
    G --> H[LLM providers]
    G --> I[Vector stores]
    G --> J[Tools and agents]