RRepoGEO

REPOGEO REPORT · LITE

hymie122/RAG-Survey

Default branch main · commit feb4dfa5 · scanned 5/22/2026, 8:58:40 PM

GitHub: 1,789 stars · 123 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 hymie122/RAG-Survey, 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
  • highabout#1
    Refine 'About' description to highlight structured taxonomy

    Why:

    CURRENT
    Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
    COPY-PASTE FIX
    A comprehensive, taxonomized collection of Retrieval-Augmented Generation (RAG) papers for AI-Generated Content (AIGC), based on our survey paper: "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
  • mediumlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.
  • mediumhomepage#3
    Add homepage URL linking to the survey paper

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to the official publication link of your survey paper.

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 hymie122/RAG-Survey
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DPR
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DPR · recommended 1×
  2. Contriever · recommended 1×
  3. GoldEn · recommended 1×
  4. IRCoL · recommended 1×
  5. BM25 · recommended 1×
  • CATEGORY QUERY
    What are the latest research advancements in retrieval augmented generation for AI content creation?
    you: not recommended
    AI recommended (in order):
    1. DPR
    2. Contriever
    3. GoldEn
    4. IRCoL
    5. BM25
    6. RAG-Fusion
    7. Self-RAG
    8. LoRA
    9. Llama 2
    10. Mistral
    11. GPT-3.5
    12. RAGAS
    13. FActScore
    14. K-RAG
    15. GRAIN

    AI recommended 15 alternatives but never named hymie122/RAG-Survey. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive taxonomy of RAG methods for large language models?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Towards Data Science
    4. Awesome RAG

    AI recommended 4 alternatives but never named hymie122/RAG-Survey. 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 hymie122/RAG-Survey?
    pass
    AI named hymie122/RAG-Survey explicitly

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

  • If a team adopts hymie122/RAG-Survey in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hymie122/RAG-Survey 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 hymie122/RAG-Survey solve, and who is the primary audience?
    pass
    AI named hymie122/RAG-Survey explicitly

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

Embed your GEO score

Drop this badge into the README of hymie122/RAG-Survey. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/hymie122/RAG-Survey.svg)](https://repogeo.com/en/r/hymie122/RAG-Survey)
HTML
<a href="https://repogeo.com/en/r/hymie122/RAG-Survey"><img src="https://repogeo.com/badge/hymie122/RAG-Survey.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

hymie122/RAG-Survey — 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