zjunlp/PromptKG

• highreadme#1

  Reposition README opening to clarify project type and scope

  原因：

  当前

  PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

  复制粘贴的修复

  复制

  PromptKG is a comprehensive research toolkit and curated gallery focusing on the intersection of Prompt Learning and Knowledge Graphs. It provides implementations of research models, libraries for PLM-based KG embeddings, and a valuable paper-list for NLP researchers and AI engineers.

  待办完成忽略
• mediumtopics#2

  Add topics emphasizing 'research toolkit' and 'paper collection'

  原因：

  当前

  awsome-list, demo-tuning, dialogue, genkgc, knowledge-graph, knowledge-informed-prompt-learning, lambdakg, link-prediction, natural-language-processing, nlp, paper, paper-list, prompt-tuning, promptkg, pytorch, question-answering, relation-extraction, retrieval-augmented, retrievalre, retroprompt

  复制粘贴的修复

  复制

  awsome-list, demo-tuning, dialogue, genkgc, knowledge-graph, knowledge-informed-prompt-learning, lambdakg, link-prediction, natural-language-processing, nlp, paper, paper-list, prompt-tuning, promptkg, pytorch, question-answering, relation-extraction, retrieval-augmented, retrievalre, retroprompt, research-toolkit, nlp-research, knowledge-graph-research, prompt-learning-toolkit

  待办完成忽略
• mediumreadme#3

  Add a 'Who is PromptKG for?' or 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  ### Who is PromptKG for?
  PromptKG is designed for NLP researchers and AI engineers interested in the intersection of prompt learning and knowledge graphs. It serves as a comprehensive resource for understanding and implementing state-of-the-art research. It is *not* a production-ready knowledge graph database like Neo4j or TypeDB, nor is it a general-purpose deep learning framework like PyTorch or TensorFlow. Instead, it provides specialized tools and research implementations for PLM-based KG embeddings and prompt engineering.

  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 can I leverage prompt learning and knowledge graphs for NLP tasks like QA or relation extraction?

  你：未被推荐
  AI 推荐顺序：

  1. Neo4j
  2. Grakn (now Vaticle's TypeDB)
  3. RDFox
  4. Stardog
  5. LangChain
  6. LlamaIndex
  7. Haystack (deepset.ai)
  8. PromptSource
  9. GPT-4 (OpenAI)
  10. Claude 3 (Anthropic)
  11. Llama 2 (Meta AI)
  12. Mistral 7B / Mixtral 8x7B (Mistral AI)

  AI 推荐了 12 个替代方案，却始终没点名 zjunlp/PromptKG。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools help with creating and dynamically editing PLM-based knowledge graph embeddings?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Transformers
  2. PyTorch
  3. TensorFlow
  4. Deep Graph Library (DGL)
  5. PyTorch Geometric (PyG)
  6. OpenKE
  7. AmpliGraph
  8. Neo4j
  9. Neo4j Graph Data Science Library (GDS)
  10. KGTK

  AI 推荐了 10 个替代方案，却始终没点名 zjunlp/PromptKG。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

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

  pass
  ✓AI 明确点名了 zjunlp/PromptKG

  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 zjunlp/PromptKG in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 zjunlp/PromptKG

  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 zjunlp/PromptKG solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 zjunlp/PromptKG

  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？