Add scripts for inspecting LLM summaries and testing misleading comments

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- Implement `inspect_llm_summaries.py` to display LLM-generated summaries from the semantic_chunks table in the database.
- Create `show_llm_analysis.py` to demonstrate LLM analysis of misleading code examples, highlighting discrepancies between comments and actual functionality.
- Develop `test_misleading_comments.py` to compare pure vector search with LLM-enhanced search, focusing on the impact of misleading or missing comments on search results.
- Introduce `test_llm_enhanced_search.py` to provide a test suite for evaluating the effectiveness of LLM-enhanced vector search against pure vector search.
- Ensure all new scripts are integrated with the existing codebase and follow the established coding standards.

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catlog22

2025-12-16 20:29:28 +08:00

parent df23975a0b

commit d21066c282

14 changed files with 3170 additions and 57 deletions

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