Explore practical applications and implementation patterns with Pixeltable
These tutorials demonstrate real-world applications of Pixeltable through end-to-end workflows. Each tutorial includes complete code and detailed explanations.
All sample applications are open source and available on our Github.
Build an end-to-end workflow for extracting, transcribing, and searching video audio using OpenAI Whisper and semantic indexing
Implement real-time object detection in videos with automatic frame extraction and processing
Create a RAG system that summarizes PDFs and answers questions using ChatGPT with automatic incremental updates
Explore flexible RAG operations on Wikipedia articles with document splitting and multiple embedding types
Extract and transcribe audio from videos with automatic indexing
Process video frames with ML models in real-time
Chunk and embed documents for semantic search
Tables automatically update as new data arrives
Results remain available across sessions
Processing steps run automatically in sequence
Each tutorial builds on Pixeltable fundamentals. New to Pixeltable? Start with our Pixeltable Basics tutorial or join our Discord community for help.