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Qube Studio

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Node Library38 nodes

Text Input

Raw text provided by the student

Dataset

Upload a tabular dataset (CSV / Excel)

CSV Upload

Upload a CSV file as data source

PDF Upload

Upload a PDF document for RAG

Image Input

Upload an image for vision workflows

Audio Input

Upload audio — Whisper transcribes it

User Prompt

A question or instruction from the user

Clean Data

Remove nulls, duplicates and outliers

Encode Data

Convert categories into numbers

Preprocess Image

Resize and normalize images

Regression Model

Predicts continuous values

Classification Model

Predicts discrete classes

Train Model

Fit a model on training data

LLM

Large language model generation

Vision Model

Understands image content

Text Splitter

Splits documents into chunks

Embedding Generator

Embeds chunks into vector space

Vector Database

Stores document embeddings for retrieval

Retriever

Finds the most similar chunks

Source Citation

Attaches sources to the answer

User Task

The task the agent must solve

Planner

Decides which tool to use next

Calculator Tool

Performs arithmetic for the agent

Tool Output

Result returned by a tool

Final Agent Answer

The agent's final response

Role

Who the AI should act as

Task

What the AI should do

Context

Background information for the AI

Constraints

Rules the AI must follow

Output Format

Shape of the expected answer

Confusion Matrix

TP / FP / TN / FN breakdown

MAE / RMSE / R²

Regression error metrics

Evaluation

General quality evaluation step

Final Output

Terminal result of the workflow

Prediction Output

Final predicted values

Final Answer

Final answer shown to the user

Text to Speech

Reads the final answer aloud 🔊

Sticky Note

Annotate your workflow — not part of the flow

Drag a node onto the canvas, or click to add it.

Build your first AI workflow

Drag nodes from the left sidebar onto the canvas (or click to add).

Wire the colored port at the bottom of a card to the top of the next.

Press Run Workflow — the LLM executes every node live.