Manage Nodes

Nodes are the building blocks of your AI workflows. Each node performs a specific function, such as processing input, retrieving knowledge, or making decisions.

Accessing Nodes

The Nodes panel is located on the right side of the AI Studio interface, below the Workflows list.

To use a node, simply drag and drop it from the panel onto the canvas.

Available Nodes

Logic Nodes

Node Type	Description
Start	The entry point of your workflow. Every workflow must have a Start node.
End	The final step in your workflow. Returns the final output.
If/Else Router	Creates conditional branching to split your workflow into different paths based on specific conditions.

AI & Reasoning Nodes

Node Type	Description
ReAct	Implements “Reasoning + Acting” logic, allowing the AI to think and perform tasks.
Voice ReAct	Specialized ReAct node optimized for voice-based interactions and processing.

Data & Content Nodes

Node Type	Description
Multimodal Content	Handles various content types (text, image, audio) for input/output processing using LLMs.
Knowledge Retrieval	Retrieves information from your GIDR’s knowledge base (files, URLs, etc.) via semantic search.
Database	Executes SQL queries on connected databases to retrieve or store structured data.
REST API	Connects to external services and APIs using HTTP requests.
REPL	Executes custom Python code directly within your workflow.
Markdown	Renders and processes markdown-formatted content.

Configuring Nodes

Click on any node in the canvas to open its configuration panel. The available settings depend on the node type:

Inputs/Outputs: Define what data flows into and out of the node.
Parameters: specific settings for the node’s behavior (e.g., model selection, prompt templates).

Data Flow Between Nodes

Nodes communicate by passing data through connections. Each node can produce outputs that become available as inputs to downstream nodes.

How It Works

Outputs: When a node executes, it produces one or more output variables. For example, a Knowledge node produces documents, texts, and images outputs.
Connections: Draw a line from a source node’s output handle to a destination node’s input handle to establish a data flow.
Variable Selection: In the destination node’s configuration, use the Input variable selector to choose:
- Comparison Type: Select “Node” to reference another node’s output.
- Node: Choose which upstream node to pull data from.
- Output Variable: Select which specific output to use (e.g., documents vs texts).

Common Patterns

Pattern	Description
Knowledge → Multimodal	Retrieve context, then pass it to an LLM for reasoning. Select `texts` for simple prompts or `documents` for full context.
Start → Router → Multiple Paths	Branch logic based on user input or conditions.

The ReAct node has built-in retrieval capabilities configured as tools within the node itself, so it typically doesn’t require a separate Knowledge node upstream.

Each node type has different output options. See the individual node documentation pages for details on what outputs each node provides.

Introduction

Organization & Teams

GIDRs & Gidgets

End User

Accessing Nodes

Available Nodes

Logic Nodes

AI & Reasoning Nodes

Data & Content Nodes

Configuring Nodes

Data Flow Between Nodes

How It Works

Common Patterns

​Accessing Nodes

​Available Nodes

​Logic Nodes

​AI & Reasoning Nodes

​Data & Content Nodes

​Configuring Nodes

​Data Flow Between Nodes

​How It Works

​Common Patterns

Accessing Nodes

Available Nodes

Logic Nodes

AI & Reasoning Nodes

Data & Content Nodes

Configuring Nodes

Data Flow Between Nodes

How It Works

Common Patterns