Introduction (5 minutes)

1. The state of search in Django applications today
2. Common patterns and their limitations
3. Real costs of poor search functionality
4. Why search is often an afterthought in Django apps

The Search Landscape (10 minutes)

1. Review of Django's built-in search capabilities
2. Performance implications of basic text matching
3. Field lookups and their limitations
4. PostgreSQL-specific features
5. Popular search solutions in the Django ecosystem
6. Trade-offs between complexity and functionality

Why Search Matters (10 minutes)

1. User expectations in 2025
2. Common search patterns and user behaviors
3. Impact on user engagement and business metrics
4. Natural language queries vs keyword matching
5. Handling imperfect input
6. Context and intent understanding
7. Real-world examples of search improvements

Modern Search Approaches (5 minutes)

1. Key concepts of vector search
2. From keywords to meaning
3. Why embeddings work better than keywords
4. Understanding user intent
5. Relevance beyond exact matches

Practical Implementation & Best Practices (15 minutes)

1. Introducing django-semantic-search
2. Core concepts and architecture
3. Integration with existing Django models
4. Real-world implementation strategies
5. Handling different content types
6. Performance optimization techniques
7. Common pitfalls and solutions
8. Resource management
9. Query optimization
10. Monitoring and maintaining search quality