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ScoringParams

mag::memory_core::scoring

Struct ScoringParams 

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pub struct ScoringParams {
Show 30 fields
    pub rrf_k: f64,
    pub rrf_weight_vec: f64,
    pub rrf_weight_fts: f64,
    pub abstention_min_text: f64,
    pub graph_neighbor_factor: f64,
    pub graph_min_edge_weight: f64,
    pub word_overlap_weight: f64,
    pub query_coverage_weight: f64,
    pub jaccard_weight: f64,
    pub importance_floor: f64,
    pub importance_scale: f64,
    pub context_tag_weight: f64,
    pub time_decay_days: f64,
    pub priority_base: f64,
    pub priority_scale: f64,
    pub feedback_heavy_suppress: f64,
    pub feedback_strong_suppress: f64,
    pub feedback_positive_scale: f64,
    pub feedback_positive_cap: f64,
    pub feedback_heavy_threshold: i64,
    pub neighbor_word_overlap_weight: f64,
    pub neighbor_importance_floor: f64,
    pub neighbor_importance_scale: f64,
    pub graph_seed_min: usize,
    pub graph_seed_max: usize,
    pub dual_match_boost: f64,
    pub rerank_top_n: usize,
    pub rerank_blend_alpha: f64,
    pub preceded_by_boost: f64,
    pub entity_relation_boost: f64,

}

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§rrf_k: f64§rrf_weight_vec: f64§rrf_weight_fts: f64§abstention_min_text: f64§graph_neighbor_factor: f64§graph_min_edge_weight: f64§word_overlap_weight: f64§query_coverage_weight: f64§jaccard_weight: f64§importance_floor: f64§importance_scale: f64§context_tag_weight: f64§time_decay_days: f64§priority_base: f64§priority_scale: f64§feedback_heavy_suppress: f64§feedback_strong_suppress: f64§feedback_positive_scale: f64§feedback_positive_cap: f64§feedback_heavy_threshold: i64§neighbor_word_overlap_weight: f64§neighbor_importance_floor: f64§neighbor_importance_scale: f64§graph_seed_min: usize§graph_seed_max: usize§dual_match_boost: f64

Fallback multiplier for candidates appearing in both vector and FTS result lists during RRF fusion. The pipeline now uses an adaptive boost (1.3x – 1.8x) scaled by FTS rank, so this value is only used as a fallback when the adaptive path cannot determine rank. Default 1.5 (midpoint of the adaptive range).

§rerank_top_n: usize

Number of top candidates to rerank with the cross-encoder (default 30).

§rerank_blend_alpha: f64

Blend weight: alpha * rrf_score + (1 - alpha) * cross_encoder_score. Default 0.5 (equal weight).

§preceded_by_boost: f64

Multiplicative boost for PRECEDED_BY graph edges (temporal adjacency). Default 1.5 — adjacent conversation turns get 50% more weight.

§entity_relation_boost: f64

Multiplicative boost for entity-related graph edges (RELATES_TO, SIMILAR_TO, etc.). Default 1.3 — entity-connected memories get 30% more weight.

Trait Implementations§

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impl Clone for ScoringParams

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fn clone(&self) -> ScoringParams

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ScoringParams

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for ScoringParams

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl Serialize for ScoringParams

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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