RRepoGEO

REPOGEO REPORT · LITE

GanymedeNil/document.ai

Default branch main · commit b0a89f8b · scanned 5/11/2026, 12:22:38 PM

GitHub: 3,675 stars · 326 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface GanymedeNil/document.ai, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Expand the README introduction to reinforce core purpose

    Why:

    CURRENT
    # document.ai
    基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
    
    ## 目录
    COPY-PASTE FIX
    # document.ai
    基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
    
    This project provides a robust, open-source solution for building a **private and local knowledge base** using **vector databases** and **large language models (LLMs)** like GPT-3.5. It's designed for **document question answering** and supports **custom embedding models**, making it ideal for creating domain-specific AI assistants without relying on external services for sensitive data.
    
    ## 目录
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/GanymedeNil/document.ai

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface GanymedeNil/document.ai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Haystack · recommended 2×
  4. Weaviate · recommended 2×
  5. Faiss · recommended 2×
  • CATEGORY QUERY
    How to build a private knowledge base using vector search and large language models?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. ChromaDB
    3. OpenAI Embeddings
    4. Hugging Face `sentence-transformers` models
    5. LangChain
    6. Pinecone
    7. Haystack
    8. Weaviate
    9. Faiss
    10. ScaNN

    AI recommended 10 alternatives but never named GanymedeNil/document.ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a solution for local document question answering with custom embedding models.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Haystack
    3. LangChain
    4. Faiss
    5. Sentence-Transformers
    6. Hugging Face Transformers
    7. Chroma
    8. Weaviate

    AI recommended 8 alternatives but never named GanymedeNil/document.ai. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of GanymedeNil/document.ai?
    pass
    AI named GanymedeNil/document.ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts GanymedeNil/document.ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GanymedeNil/document.ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo GanymedeNil/document.ai solve, and who is the primary audience?
    pass
    AI named GanymedeNil/document.ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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