No semantic/embedding relationship layer #6
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Category: Roadmap · Priority: MED
Summary
theme_scanis keyword regex over 4 hardcoded themes (tool-call, context, compute, trust). Cross-source linkage is blind. nomic-embed-text (768-dim, CPU-friendly) would replace regex themes with cosine clustering and enable semantic dedup + cross-source relationship. Not built.Why it matters
Keyword matching misses paraphrased/adjacent topics. Dedup is exact-only (
source+source_id), so rephrased repeats slip through — the exact "source-expansion ≠ real work" failure mode.What happens if not done
Weaker trend detection; semantic near-duplicates inflate signal counts; cross-source synthesis unavailable.
Suggested approach
Add
embeddingstable (768 floats/entry, ~3KB each). Embed on ingest via Ollama nomic-embed-text. Replace regex themes with per-cycle cosine clustering. First real LLM dependency — pairs with issue #8 and #10 (containerize).