chrishayuk/larql

• highabout#1

  Add a concise repository description

  原因：

  复制粘贴的修复

  复制

  Decompiles transformer models into a queryable format (vindex) and provides LQL to browse, edit, and recompile their knowledge, treating neural network weights like a graph database.

  待办完成忽略
• hightopics#2

  Add relevant repository topics

  原因：

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  llm-interpretability, model-editing, transformer-models, neural-networks, graph-database, ai-research, rust

  待办完成忽略
• mediumreadme#3

  Enhance README H1 for clarity and scope

  原因：

  当前

  # LARQL

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  # LARQL: Query Neural Network Weights as a Graph Database

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to inspect and query the internal knowledge stored within large language models?

  你：未被推荐
  AI 推荐顺序：

  1. TransformerLens
  2. LIME
  3. SHAP
  4. ConceptBottleneckModel
  5. OpenAI's Microscope
  6. Google's Lucid
  7. OpenIE
  8. Stanford CoreNLP
  9. ROME

  AI 推荐了 9 个替代方案，却始终没点名 chrishayuk/larql。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tool to modify or add facts to a transformer model without requiring full retraining?

  你：未被推荐
  AI 推荐顺序：

  1. ROME
  2. MEND
  3. SERAC
  4. MEMIT
  5. LoRA
  6. Knowledge Neurons

  AI 推荐了 6 个替代方案，却始终没点名 chrishayuk/larql。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of chrishayuk/larql?

  pass
  ✓AI 明确点名了 chrishayuk/larql

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts chrishayuk/larql in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 chrishayuk/larql

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo chrishayuk/larql solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 chrishayuk/larql

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？