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Delete similarity module, rewrite module, and all text-similarity code

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Text cosine similarity was being used as a crutch for operations
the graph structure should handle: interference detection, orphan
linking, triangle closing, hub differentiation. These are all
graph-structural operations that the agents (linker, extractor)
handle with actual semantic understanding.

Removed: similarity.rs (stemming + cosine), rewrite.rs (orphan
linking, triangle closing, hub differentiation), detect_interference,
and all CLI commands and consolidation steps that used them.

-794 lines.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
This commit is contained in:
ProofOfConcept 2026-04-10 15:44:10 -04:00
parent 92ef9b5215
commit 96e573f2e5
12 changed files with 11 additions and 794 deletions
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46
src/main.rs
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@ -353,32 +353,6 @@ enum GraphCmd {
#[arg(long)]
apply: bool,
},
/// Link orphan nodes to similar neighbors
#[command(name = "link-orphans")]
LinkOrphans {
/// Minimum degree to consider orphan (default: 2)
#[arg(default_value_t = 2)]
min_degree: usize,
/// Links per orphan (default: 3)
#[arg(default_value_t = 3)]
links_per: usize,
/// Similarity threshold (default: 0.15)
#[arg(default_value_t = 0.15)]
sim_threshold: f32,
},
/// Close triangles: link similar neighbors of hubs
#[command(name = "triangle-close")]
TriangleClose {
/// Minimum hub degree (default: 5)
#[arg(default_value_t = 5)]
min_degree: usize,
/// Similarity threshold (default: 0.3)
#[arg(default_value_t = 0.3)]
sim_threshold: f32,
/// Maximum links per hub (default: 10)
#[arg(default_value_t = 10)]
max_per_hub: usize,
},
/// Cap node degree by pruning weak auto edges
#[command(name = "cap-degree")]
CapDegree {
@ -393,25 +367,11 @@ enum GraphCmd {
#[arg(long)]
apply: bool,
},
/// Redistribute hub links to section-level children
Differentiate {
/// Specific hub key (omit to list all differentiable hubs)
key: Option<String>,
/// Apply the redistribution
#[arg(long)]
apply: bool,
},
/// Walk temporal links: semantic ↔ episodic ↔ conversation
Trace {
/// Node key
key: Vec<String>,
},
/// Detect potentially confusable memory pairs
Interference {
/// Similarity threshold (default: 0.4)
#[arg(long, default_value_t = 0.4)]
threshold: f32,
},
/// Show communities sorted by isolation (most isolated first)
Communities {
/// Number of communities to show
@ -778,15 +738,9 @@ impl Run for GraphCmd {
=> cli::graph::cmd_link_set(&source, &target, strength),
Self::LinkImpact { source, target } => cli::graph::cmd_link_impact(&source, &target),
Self::LinkAudit { apply } => cli::graph::cmd_link_audit(apply),
Self::LinkOrphans { min_degree, links_per, sim_threshold }
=> cli::graph::cmd_link_orphans(min_degree, links_per, sim_threshold),
Self::TriangleClose { min_degree, sim_threshold, max_per_hub }
=> cli::graph::cmd_triangle_close(min_degree, sim_threshold, max_per_hub),
Self::CapDegree { max_degree } => cli::graph::cmd_cap_degree(max_degree),
Self::NormalizeStrengths { apply } => cli::graph::cmd_normalize_strengths(apply),
Self::Differentiate { key, apply } => cli::graph::cmd_differentiate(key.as_deref(), apply),
Self::Trace { key } => cli::graph::cmd_trace(&key),
Self::Interference { threshold } => cli::graph::cmd_interference(threshold),
Self::Communities { top_n, min_size } => cli::graph::cmd_communities(top_n, min_size),
Self::Overview => cli::graph::cmd_graph(),
Self::Organize { term, threshold, key_only, anchor }