RRepoGEO

REPOGEO REPORT · LITE

thu-vu92/knowledge-graph-llms

Default branch main · commit 23061663 · scanned 6/6/2026, 12:32:48 AM

GitHub: 730 stars · 220 forks

AI VISIBILITY SCORE
28 /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
2 / 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 thu-vu92/knowledge-graph-llms, 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
  • highabout#1
    Clarify the repository's About description as a runnable application

    Why:

    CURRENT
    In this project, I explored how to extract knowledge graphs from text using LLMs, such as OpenAI GPT4o.
    COPY-PASTE FIX
    A Streamlit application for extracting entities and relationships from text using LLMs (e.g., GPT-4o) and visualizing them as interactive knowledge graphs.
  • lowhomepage#2
    Add the YouTube tutorial link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://www.youtube.com/watch?v=O-T_6KOXML4

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 thu-vu92/knowledge-graph-llms
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Anthropic Claude · recommended 1×
  3. Google Gemini API · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Llama 3 · recommended 1×
  • CATEGORY QUERY
    How to automatically extract entities and relationships from text using large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Google Gemini API
    4. Hugging Face Transformers
    5. Llama 3
    6. Mistral 7B/8x7B
    7. BERT/RoBERTa
    8. SpaCy
    9. Haystack

    AI recommended 9 alternatives but never named thu-vu92/knowledge-graph-llms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to visualize extracted knowledge graphs from text input interactively.
    you: not recommended
    AI recommended (in order):
    1. Neo4j Bloom
    2. Gephi
    3. Cytoscape
    4. Graphistry
    5. KeyLines
    6. yFiles
    7. NetworkX
    8. Matplotlib
    9. Plotly

    AI recommended 9 alternatives but never named thu-vu92/knowledge-graph-llms. 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 thu-vu92/knowledge-graph-llms?
    pass
    AI named thu-vu92/knowledge-graph-llms explicitly

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

  • If a team adopts thu-vu92/knowledge-graph-llms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thu-vu92/knowledge-graph-llms 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 thu-vu92/knowledge-graph-llms solve, and who is the primary audience?
    pass
    AI did not name thu-vu92/knowledge-graph-llms — likely talking about a different project

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

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thu-vu92/knowledge-graph-llms — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite