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LearningCircuit/local-deep-research
默认分支 main · commit f8169fb9 · 扫描时间 2026/5/8 04:26:21
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 LearningCircuit/local-deep-research 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README's opening statement for clarity and impact
原因:
当前**AI-powered research assistant for deep, agentic researchPerforms deep, agentic research using multiple LLMs and search engines with proper citations***
复制粘贴的修复Local Deep Research is a self-hosted, private, and agentic AI research assistant. It performs deep research using multiple local and cloud LLMs, 10+ search engines (arXiv, PubMed, private documents), and ensures everything remains local and encrypted.
- highhomepage#2Add a homepage URL to the repository's About section
原因:
复制粘贴的修复https://github.com/LearningCircuit/local-deep-research
- mediumtopics#3Add 'agentic' and 'private' to the repository topics
原因:
当前academia, anthropic, arxiv, brave, deep-research, encryption, home-automation, homeserver, local, local-deep-research, local-llm, mistral, ollama, openai, pubmed, research, research-tool, retrieval-augmented-generation, searxng, self-hosted
复制粘贴的修复academia, agentic, anthropic, arxiv, brave, deep-research, encryption, home-automation, homeserver, local, local-deep-research, local-llm, mistral, ollama, openai, private, pubmed, research, research-tool, retrieval-augmented-generation, searxng, self-hosted
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- LocalGPT · 被推荐 1 次
- PrivateGPT · 被推荐 1 次
- LlamaIndex · 被推荐 1 次
- deepset/Haystack · 被推荐 1 次
- Ollama · 被推荐 1 次
- 品类问题What's a good self-hosted tool for deep research using local LLMs and private documents?你:未被推荐AI 推荐顺序:
- LocalGPT
- PrivateGPT
- LlamaIndex
- Haystack (deepset/Haystack)
- Ollama
- LangChain
AI 推荐了 6 个替代方案,却始终没点名 LearningCircuit/local-deep-research。这就是要补上的差距。
查看 AI 完整回答
- 品类问题How can I build a secure RAG system for academic research across diverse private and public sources?你:未被推荐AI 推荐顺序:
- Azure OpenAI Service
- Azure AI Search
- Azure Data Lake Storage Gen2
- Azure Key Vault
- Azure Private Link
- AWS Bedrock
- Amazon Kendra
- Amazon S3
- AWS Secrets Manager
- AWS PrivateLink
- Google Cloud Vertex AI
- Google Cloud Search
- Google Cloud Storage
- Google Secret Manager
- Google Cloud VPC Service Controls
- Hugging Face Transformers (huggingface/transformers)
- Elasticsearch (elastic/elasticsearch)
- OpenSearch (opensearch-project/OpenSearch)
- MinIO (minio/minio)
- Ceph (ceph/ceph)
- HashiCorp Vault (hashicorp/vault)
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- PostgreSQL (postgres/postgres)
AI 推荐了 24 个替代方案,却始终没点名 LearningCircuit/local-deep-research。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of LearningCircuit/local-deep-research?passAI 未点名 LearningCircuit/local-deep-research —— 很可能在说另一个项目
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 LearningCircuit/local-deep-research in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 LearningCircuit/local-deep-research
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 LearningCircuit/local-deep-research solve, and who is the primary audience?passAI 未点名 LearningCircuit/local-deep-research —— 很可能在说另一个项目
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?
嵌入你的 GEO 徽章
把这个徽章贴进 LearningCircuit/local-deep-research 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/LearningCircuit/local-deep-research)<a href="https://repogeo.com/zh/r/LearningCircuit/local-deep-research"><img src="https://repogeo.com/badge/LearningCircuit/local-deep-research.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
LearningCircuit/local-deep-research — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3