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Welcome to Pixeltable
  • Introduction
  • Installation
  • Quick Start
  • Building with LLMs
Multimodal AI Datastore
  • Tables
  • Views
  • Iterators
  • Bringing Data
  • Building Queries
  • Computed Columns
  • Vector Database
  • Custom Functions (UDFs)
Tutorials
  • Fundamentals
  • Feature Guides
Libraries
  • Pixelagent
  • Model Context Protocol
  • Pixeltable YOLOX
Tutorials

Fundamentals

Learn Pixeltable core concepts and capabilities through interactive tutorials

Welcome to Pixeltable fundamentals! These tutorials will help you understand Pixeltable’s core capabilities for managing multimodal data and machine learning workflows.

These tutorials are available as interactive Jupyter notebooks on our Github repository.

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Core Concepts

Tables and Data Operations

Create and manage multimodal data tables, import datasets, and perform essential operations like filtering, selecting, and ordering data using Pixeltable’s intuitive interface

Computed Columns

Leverage Pixeltable’s powerful computed columns to automate data transformations, integrate ML models, and create dynamic data workflows with automatic versioning and lineage tracking

Queries & Expressions

Master Pixeltable’s expressive query system for complex data operations, from simple filters to advanced transformations across images, video, text and embeddings

Need help? Join our Discord community for support and discussions with other users.

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Custom Functions (UDFs)Feature Guides
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