Search System Enhancements

[csmangum]

The current search system provides a solid foundation with its modular strategy-based approach. This issue proposes several enhancements to improve performance, functionality, and usability.

Proposed Improvements

Performance Optimizations

• Implement query result caching mechanism
• Add pagination support for large result sets
• Optimize multi-tier searches with parallel processing
• Add query timeout configuration

Advanced Search Capabilities

• Add fuzzy matching for attribute searches
• Implement BM25 or similar ranking algorithm alongside vector search
• Support complex boolean queries (AND, OR, NOT operators)
• Add semantic boosting factors (e.g., boost recent memories in similarity search)

Usability Enhancements

• Implement query templating for common search patterns
• Add result highlighting to show matching text
• Create convenience methods for frequent search combinations
• Standardize score normalization across strategies

Integration Improvements

• Add support for external vector databases (Pinecone, Weaviate, etc.)
• Implement streaming results for progressive display
• Create asynchronous search API for non-blocking operations
• Add optional result post-processing hooks

Feedback Mechanisms

• Implement relevance feedback loop to improve future searches
• Add search analytics to track effective vs. ineffective queries
• Develop adaptive weighting based on user interactions

Implementation Notes

The improvements should maintain backward compatibility with the existing API. The strategy pattern already in place provides a good foundation for these enhancements.

Expected Benefits

• Improved search response time
• Higher quality and more relevant search results
• Better developer experience
• Increased scalability with larger memory stores
• Support for more sophisticated agent behaviors through enhanced memory retrieval