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Flow editor

As explained in Grokking AI Applications

A visual workspace for designing and orchestrating connected application components in Langflow.

A flow editor is a visual workspace for designing and orchestrating GenAI applications. Choose components from organized sections, place them on a canvas, and connect them to combine their functions. section 2.3

A typical flow-editor workflow includes:

  • Start with a blank flow. section 2.3
  • Add components such as chat input, chat output, data sources, files, knowledge, and language models. section 2.3
  • Connect components on the canvas, then use the Playground to test the result. section 2.3
  • Share the flow, embed it in an application, or expose it through an API. section 2.3

Pirate chatbot

Build a chatbot that responds in Pirate English by connecting chat input, processing components, a language model, and chat output. Try conversations in the Playground as you refine the flow. section 2.3

Figure 2.9 The flow editor in Langflow

Use the flow-editor figure to identify the component library, central canvas, and testing and sharing controls. section 2.3

How Grokking AI Applications covers it

How deep it goes
Explains component selection, canvas connections, testing, sharing, and embedding without detailing implementation internals.
Examples
Uses a Pirate English chatbot, blank flow, connected canvas, and Playground conversation.
What you can do after
Apply it via Langflow to build, connect, test, share, and embed a GenAI application.
How it connects
Connects chatbots, language models, data sources, APIs, and application embedding.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Grokking AI Applications. The section links point to the parts of the book it draws on.