- Add total_personalized field to SearchAggregator to track personalization usage
- Track when search requests include personalization parameters
- Include personalization data in analytics JSON output
- Maintain clean personalization service interface
- Replace and_then() with early return for missing personalization
- Simplify reranking by building new hits vector instead of swapping
- Add debug logging for reranked indices
- Fix potential index out-of-bounds issues in reranking
- Refactor PersonalizationService as enum with Cohere and Uninitialized variants
- Create dedicated CohereService struct with rerank_search_results method
- Split constructor into cohere() and uninitialized() methods
- Move all Cohere logic into CohereService for better separation of concerns
- Update tests and lib.rs to use new API
- Improve code organization and maintainability
- Merge initial query with user context to create a comprehensive prompt
- Only skip reranking if both query and user_context are None
- Support reranking with query-only, user_context-only, or both
- Use 'let else' pattern for cleaner error handling
- Add comprehensive tests for different parameter combinations
- Improve prompt format for better reranking effectiveness
- Rename 'personalization' field to 'personalize' in API
- Rename 'userProfile' to 'userContext' in personalization object
- Remove 'personalized' boolean field (activation now based on non-null 'personalize')
- Move personalization checks inside rerank_search_results function
- Use 'let else' pattern for better error handling
- Update error types and messages to reflect new field names
- Update all search routes and analytics to use new field names
- Add new personalization module with Cohere integration
- Implement rerank_search_results method using EnglishV3 model
- Remove fallback logic to EnglishV2 for simplified behavior
- Add comprehensive error handling and logging
- Include unit tests for service behavior
- Update search route to support personalization feature
- Add Personalization struct with personalized boolean and user_profile string
- Add personalizationPersonalized and personalizationUserProfile query parameters to SearchQueryGet
- Follow same pattern as hybrid parameters (hybridEmbedder, hybridSemanticRatio)
- Add validation: personalizationUserProfile requires personalizationPersonalized
- Add error codes for personalization parameters
- Update analytics and facet search to handle new personalization field
- Remove serde dependencies from Personalization struct, use Deserr only
- Add MEILI_EXPERIMENTAL_PERSONALIZATION_API_KEY environment variable
- Add experimental_personalization_api_key field to Opt struct with CLI and env support
- Add experimental_personalization_api_key field to InstanceTogglableFeatures
- Store personalization API key in FeatureData for access through IndexScheduler
- Add experimental_personalization_api_key() method to IndexScheduler
- Update analytics destructuring to include new field
- Maintain RoFeatures Copy trait while properly handling Option<String>
