Semantic topic clusters: local embeddings replace Louvain
Louvain only ever found the reasoning chains (the graph is disconnected by nature — every connected component became its own cluster) and edge-orphans could never join anything. Clusters are now RELATED TOPICS: propositions grouped by meaning. - Embedder (src/server/embeddings.ts): in-process transformers.js v4 running EmbeddingGemma-300M q8 (MTEB 68.4, ~300MB one-time download), MRL-truncated to 512d, "title: none | text:" prefix on 100% of inputs, L2-normalized so cosine = dot. Model/dim mismatch voids the ledger (full re-embed). Injected at the composition root — the agent layer never imports the server layer (architecture law). - Ledger (data/graph/embeddings.json): model + dim + vectors + the persisted cluster partition. Reclustering runs at the END of every embedding batch (post-merge hook, both front doors) — never per read (the agglomerative pass is ~1.5s at 338 nodes). - Clustering (src/core/semantic-clusters.ts): hand-rolled average-linkage agglomerative over cosine (npm HDBSCAN is an abandoned alpha). Stragglers stay singletons by default; attachStragglers is the all-in toggle. Threshold 0.60 swept on the real graph: 26 topics, 74/90 edge-orphans land in real topics, 10 stragglers. - Consumers (snapshot, settle, namer, replay) read the persisted partition — one cluster concept everywhere; core-survival label matching unchanged (20/26 topics kept labels). - Louvain retired: detectCommunities + graphology* deps deleted (graphology-louvain had leaked into the client bundle since the clusters wave); scripts/bench-graph.ts (dead FA2 bench) removed. - scripts/embed-graph.ts: backfill/cold-start (338 nodes in 150s including the one-time model download).
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@@ -278,6 +278,26 @@ export interface AuditResult {
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* least half its core survives in some single community (core-survival;
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* under half → the community is renamed, splits can keep only one
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* successor). */
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/** The embedding ledger shape (config.EMBEDDINGS_FILE): vectors for
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* EVERY embedded node, all produced by one model at one dimensionality. */
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export interface EmbeddingsLedger {
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/** The embedding model id (e.g. the HF repo) — mismatch = stale
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* vectors, the writer re-embeds everything. */
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model: string;
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/** Vector dimensionality (MRL-truncated on write). */
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dim: number;
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/** nodeId → L2-normalized vector (cosine similarity = dot product). */
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vectors: Record<string, number[]>;
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/** The topic partition over those vectors, computed by the SAME
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* embedder run (the user-decided trigger: recluster at the end of
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* every embedding batch, never per read — the agglomerative pass is
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* ~1.5s at current scale). Consumers (snapshot, settle, namer) read
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* this instead of recomputing. Empty when nothing is embedded. */
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clusters: Array<{ members: string[] }>;
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/** ISO timestamp of the last write. */
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updatedAt: string;
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}
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export interface ClusterLabeling {
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/** "clu_" + content hash of the sorted core. */
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id: string;
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