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VIDIZMO Node Reference Guide

Explore all available nodes for composing workflows in the VIDIZMO Workflow Designer. Workflows are created by inserting nodes onto the canvas, connecting them, and defining the flow of data and actions. Each node performs a discrete function, and connections determine the sequence of execution. Clicking a node opens its configuration panel, where you set the required and optional settings for that node.

Nodes are grouped into categories to simplify navigation and provide clarity on their purpose. To learn more about node concepts and how they work together, see the Nodes concept article.

Node Categories

Nodes in VIDIZMO Agentic AI are organized into categories based on their functionality. This structure helps users navigate the Node library and understand the role of each node type.

Trigger Nodes

Trigger nodes define how workflows start. They initiate execution based on user input, HTTP requests, or other triggering events. Every workflow requires at least one trigger to determine when it should run.

Trigger nodes expose initial workflow inputs, such as user prompts or request payloads, and pass this data as outputs to downstream nodes.

Output Nodes

Output nodes define how results are presented or returned from a workflow. They capture processed data and send it to chat interfaces, APIs, or other external endpoints. Output nodes handle final delivery and ensure that the workflow's results are accessible in the expected format.

Processing Nodes

Processing nodes transform and manipulate data within workflows. They include operations such as text splitting, concatenation, data extraction, batch processing, and parallel execution.

Processing nodes ensure that data is structured, formatted, or filtered correctly for downstream nodes.

Data Nodes

Data nodes manage, store, and retrieve information across workflows. They handle tasks such as loading JSON or PDF files, creating and reading variables, extracting web content, and searching content libraries.

These nodes provide workflows with access to the data required for automation, AI analysis, or decision-making.

Embedding Nodes

Embedding nodes convert text or other content into vector embeddings for AI operations such as semantic search, similarity comparison, or advanced content analysis.

Embedding nodes support various providers and models, enabling workflows to work with machine-readable representations of data.

Integration Nodes

Integration nodes connect workflows to external services, APIs, or credential-only systems not natively supported by VIDIZMO. They allow workflows to send requests, receive responses, and handle authentication.

Integration nodes extend the reach of workflows beyond VIDIZMO's ecosystem.

Control Flow Nodes

Control flow nodes manage branching, looping, and workflow execution logic. They include conditional routing, iteration over collections, and sub-workflows and approval nodes for human-in-the-loop decision points.

These nodes enable workflows to adapt dynamically to different input conditions and orchestrate complex sequences.

AI Nodes

AI nodes provide intelligent processing using large language models (LLMs).They generate responses, extract structured information, and enhance workflows with AI-powered decision-making.

AI nodes are key to implementing workflows that require adaptive and context-aware outputs.

VIDIZMO Nodes

VIDIZMO specific nodes perform actions unique to VIDIZMO products, such as managing mashups, publishing content, or interacting with timed data.

These nodes help workflows integrate seamlessly with VIDIZMO's ecosystem.

Tools Nodes

Tool nodes allow workflows to access external functionality or resources.Tool nodes are specialized components connected to AI nodes that extend their capabilities. Unlike regular workflow nodes, tools do not execute sequentially; instead, they are invoked dynamically by AI models during execution when additional information or external interaction is required. Tools enable operations such as content search, data retrieval, or system interactions that support AI-driven responses.

Annotation Nodes

Annotation nodes are visual aids used to organize and document workflows. They do not execute any actions but provide comments, explanations, and guidance for authors and collaborators.

Using Nodes in Workflows

  • Drag and drop nodes from the Node library onto the workflow designer.

  • Connect nodes to define the flow of execution and data.

  • Run each node to review inputs, outputs, and expected behavior.

  • Refer to each node's dedicated documentation for configuration and examples.

Best Practices

  • Ensure workflows have at least one trigger node to start execution.

  • Use output nodes to define consistent and expected results.

  • Group processing steps logically to maintain clarity.

  • Leverage embedding and AI nodes for advanced automation.

  • Document workflows with Sticky Notes node for readability.

Summary

Nodes are the building blocks of VIDIZMO Agentic AI workflows. They are organized into functional categories trigger nodes start workflows, processing nodes transform data, AI nodes generate intelligent responses, and output nodes deliver results. Each node category serves a specific purpose in workflow composition.

Next steps

Get started with nodes: