Use Cases
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.
Multimodal Processing
Audio Transcription Workflow
Build an end-to-end workflow for extracting, transcribing, and searching video audio using OpenAI Whisper and semantic indexing
Object Detection in Videos
Implement real-time object detection in videos with automatic frame extraction and processing
RAG Applications
Document Question Answering
Create a RAG system that summarizes PDFs and answers questions using ChatGPT with automatic incremental updates
Wikipedia Article Processing
Explore flexible RAG operations on Wikipedia articles with document splitting and multiple embedding types
Key Workflows
Audio Processing
Extract and transcribe audio from videos with automatic indexing
Computer Vision
Process video frames with ML models in real-time
Text Processing
Chunk and embed documents for semantic search
Implementation Features
Incremental Updates
Tables automatically update as new data arrives
Persistent Storage
Results remain available across sessions
Automated Workflow
Processing steps run automatically in sequence
Common Patterns
Media Processing Workflow
- Extract media (audio/frames)
- Process with ML models
- Index results for search
RAG Implementation
- Chunk documents
- Generate embeddings
- Build semantic index
- Query with LLMs
Each tutorial builds on Pixeltable fundamentals. New to Pixeltable? Start with our Pixeltable Basics tutorial or join our Discord community for help.
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