#!/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")