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