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refactor(memory): keep default hybrid weights while adding relevance threshold

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This commit is contained in:
Chummy 2026-02-18 14:10:35 +08:00
parent 8a1e7cc7ef
commit decea532ed
2 changed files with 4 additions and 4 deletions
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4
src/config/schema.rs
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@ -816,10 +816,10 @@ fn default_embedding_dims() -> usize {
1536 1536
} }
fn default_vector_weight() -> f64 { fn default_vector_weight() -> f64 {
0.4 0.7
} }
fn default_keyword_weight() -> f64 { fn default_keyword_weight() -> f64 {
0.6 0.3
} }
fn default_min_relevance_score() -> f64 { fn default_min_relevance_score() -> f64 {
0.4 0.4

4
src/onboard/wizard.rs
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@ -274,8 +274,8 @@ fn memory_config_defaults_for_backend(backend: &str) -> MemoryConfig {
embedding_provider: "none".to_string(), embedding_provider: "none".to_string(),
embedding_model: "text-embedding-3-small".to_string(), embedding_model: "text-embedding-3-small".to_string(),
embedding_dimensions: 1536, embedding_dimensions: 1536,
vector_weight: 0.4, vector_weight: 0.7,
keyword_weight: 0.6, keyword_weight: 0.3,
min_relevance_score: 0.4, min_relevance_score: 0.4,
embedding_cache_size: if profile.uses_sqlite_hygiene { embedding_cache_size: if profile.uses_sqlite_hygiene {
10000 10000