22 lines
640 B
Python
22 lines
640 B
Python
|
#!/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")
|