RRepoGEO

REPOGEO REPORT · LITE

SensAI-PT/RAGMeUp

Default branch main · commit 23f9ee4e · scanned 6/7/2026, 6:32:33 AM

GitHub: 677 stars · 97 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 SensAI-PT/RAGMeUp, 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics for RAG frameworks

    Why:

    COPY-PASTE FIX
    ["rag", "retrieval-augmented-generation", "llm", "large-language-models", "ai-framework", "python", "docker", "fullstack", "generative-ai"]
  • highreadme#2
    Clarify full-stack and deployment differentiators in README intro

    Why:

    CURRENT
    > A simple and extensible framework to build RAG (Retrieval-Augmented Generation) applications fast.
    COPY-PASTE FIX
    > A simple, extensible, and full-stack framework to build RAG (Retrieval-Augmented Generation) applications fast, featuring Docker-first deployment and hybrid GPU support.
  • mediumhomepage#3
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://ragmeup.sensai.pt

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 SensAI-PT/RAGMeUp
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. Gradio · recommended 1×
  5. Rasa · recommended 1×
  • CATEGORY QUERY
    How to quickly build retrieval-augmented generation applications using my own data?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Gradio
    5. Rasa

    AI recommended 5 alternatives but never named SensAI-PT/RAGMeUp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are flexible frameworks for integrating LLMs with diverse datasets for enhanced generation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. DSPy
    6. RAGatouille

    AI recommended 6 alternatives but never named SensAI-PT/RAGMeUp. 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 SensAI-PT/RAGMeUp?
    pass
    AI did not name SensAI-PT/RAGMeUp — 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?

  • If a team adopts SensAI-PT/RAGMeUp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SensAI-PT/RAGMeUp 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 SensAI-PT/RAGMeUp solve, and who is the primary audience?
    pass
    AI named SensAI-PT/RAGMeUp explicitly

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

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SensAI-PT/RAGMeUp — 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