What is Hybrid Search
Hybrid Search - Combined search approach
Combines keyword (symbolic) search and semantic (vector) search across multiple modalities for improved retrieval performance.
How It Works
Hybrid search combines traditional keyword-based search with modern semantic search capabilities. This approach leverages both exact matching and semantic understanding to provide more comprehensive search results.
Technical Details
Implements both inverted indexes for keyword search and vector indexes for semantic search. Uses ranking fusion techniques to combine results from different search methods and modalities.
Best Practices
- Balance keyword and semantic search
- Implement efficient ranking fusion
- Consider query understanding
- Optimize for performance
- Regular evaluation and tuning
Common Pitfalls
- Poor balance between approaches
- Inefficient result fusion
- Inadequate query processing
- Performance bottlenecks
- Lack of monitoring
Advanced Tips
- Use dynamic weighting
- Implement query expansion
- Consider user context
- Optimize for specific cases
- Regular performance review