---
title: "Jupyter Notebooks"
description: "Interactive Pixeltable tutorials covering RAG, computer vision, audio, and more."
url: "https://pixeltable.com/notebooks"
---

# Jupyter Notebooks

- [10-Minute Tour: Pixeltable Basics](https://pixeltable.com/notebooks/pixeltable-basics) (beginner, 10 minutes) - The fastest way to see Pixeltable in action. Learn core concepts through hands-on examples with tables, computed columns, and AI integrations.
- [RAG Demo: Build a Complete RAG System](https://pixeltable.com/notebooks/rag-demo) (intermediate, 30 minutes) - Interactive notebook for building Retrieval-Augmented Generation systems. Learn document chunking, embedding generation, and LLM integration.
- [Object Detection in Videos with YOLOX](https://pixeltable.com/notebooks/object-detection-in-videos) (intermediate, 25 minutes) - Learn how to perform real-time object detection in videos using YOLOX. Extract frames, run inference, and analyze results at scale.
- [Audio Processing & Transcription](https://pixeltable.com/notebooks/audio-transcriptions) (intermediate, 20 minutes) - A guide to extracting, transcribing, and searching audio from video files using OpenAI Whisper and Pixeltable.
- [Working with OpenAI: Complete Integration Guide](https://pixeltable.com/notebooks/working-with-openai) (beginner, 20 minutes) - See how to integrate OpenAI models (GPT-4, Vision, Whisper, DALL-E) with Pixeltable for multimodal AI applications.
- [Working with FiftyOne for Data Curation](https://pixeltable.com/notebooks/working-with-fiftyone) (intermediate, 25 minutes) - Integrate Pixeltable with Voxel51 FiftyOne for powerful dataset curation and visualization workflows.
- [Feature Guide: Embedding Indexes](https://pixeltable.com/notebooks/embedding-indexes) (advanced, 35 minutes) - Deep dive into Pixeltable's embedding indexes. Learn about automatic incremental updates, similarity search, and production optimization.
- [User-Defined Functions (UDFs) in Pixeltable](https://pixeltable.com/notebooks/udfs-in-pixeltable) (intermediate, 30 minutes) - Master custom functions in Pixeltable. Extend the platform with your own Python code for specialized data processing.