[EZRA BURN-MODE] Phase 2: relevance engine stub

scaffold/deepdive/phase2/relevance_engine.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python3
+"""Deep Dive Phase 2: Relevance Engine — STUB
+
+Loads aggregated items, scores by embedding similarity,
+ranks by relevance to Hermes/Timmy work.
+
+Parent: the-nexus#830
+"""
+
+# TODO: Implement embedding scoring
+# - Load items from data/deepdive/raw/
+# - Embed titles/abstracts with nomic-embed-text
+# - Score vs codebase embedding (computed once)
+# - Rank and filter top N
+# - Save to data/deepdive/scored/
+
+def score_relevance(items, codebase_embedding):
+    raise NotImplementedError("Phase 2 stub — implement embeddings")
+
+if __name__ == "__main__":
+    print("Phase 2: Relevance Engine — NOT YET IMPLEMENTED")