refactor(memory): keep default hybrid weights while adding relevance threshold
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8a1e7cc7ef
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decea532ed
2 changed files with 4 additions and 4 deletions
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@ -816,10 +816,10 @@ fn default_embedding_dims() -> usize {
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1536
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}
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fn default_vector_weight() -> f64 {
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0.4
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0.7
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}
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fn default_keyword_weight() -> f64 {
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0.6
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0.3
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}
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fn default_min_relevance_score() -> f64 {
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0.4
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@ -274,8 +274,8 @@ fn memory_config_defaults_for_backend(backend: &str) -> MemoryConfig {
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embedding_provider: "none".to_string(),
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embedding_model: "text-embedding-3-small".to_string(),
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embedding_dimensions: 1536,
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vector_weight: 0.4,
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keyword_weight: 0.6,
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vector_weight: 0.7,
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keyword_weight: 0.3,
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min_relevance_score: 0.4,
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embedding_cache_size: if profile.uses_sqlite_hygiene {
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10000
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