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Automating data exploration and AI workflows in Jupyter Notebooks using Jupyter Agent. Covers dataset preprocessing, AI-powered analysis, and retrieval-augmented generation (RAG) applications.

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Using Jupyter Agent for data exploration: a practical guide

· 10 min read
Norah Sakal
AI Consultant & Developer

Using Jupyter Agent for data exploration: a practical guide

Jupyter Agent automates Jupyter Notebook creation, making it easy to analyze datasets before vectorizing them for Retrieval-Augmented Generation (RAG).

In this guide, we'll use Jupyter Agent Hugging Face space to explore a fictional shoe store's dataset, uncover key insights, and prepare the data for an AI-powered search system.