RRepoGEO

REPOGEO REPORT · LITE

SaiAkhil066/CORTEX-AI-SUPER-RAG

Default branch main · commit fba31cbe · scanned 6/19/2026, 2:03:24 AM

GitHub: 1,727 stars · 257 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 SaiAkhil066/CORTEX-AI-SUPER-RAG, 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 to the repository

    Why:

    COPY-PASTE FIX
    rag, local-rag, offline-ai, pdf-qa, llm-applications, privacy-focused, document-qa, knowledge-graph, retrieval-augmented-generation
  • highreadme#2
    Add a clear H1 title to the README

    Why:

    COPY-PASTE FIX
    # Cortex RAG: Local, Private, Advanced PDF Question Answering
    
    <p align="center">
      
    </p>
    
    <br/>
    
    <p align="center">
      
    </p>
    <p align="center">
      <sub>↑ &nbsp; what actually happens every time you send a message</sub>
    </p>
    
    <br/>
    
    <p align="center">
      
      &nbsp;
      
      &nbsp;
      
      &nbsp;
      
      &nbsp;
      
      &nbsp;
      
    </p>
    
    <h3 align="center">
      You upload a PDF. You ask a question.<br/>
      Cortex RAG retrieves, cross-checks, reasons, and cites — entirely on your machine.<br/>
      <sub>No API key &nbsp;·&nbsp; No cloud upload &nbsp;·&nbsp; No subscription</sub>
    </h3>
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/SaiAkhil066/CORTEX-AI-SUPER-RAG

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 SaiAkhil066/CORTEX-AI-SUPER-RAG
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
run-llama/llama_index
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/llama_index · recommended 2×
  2. chroma-core/chroma · recommended 2×
  3. langchain-ai/langchain · recommended 2×
  4. facebookresearch/faiss · recommended 2×
  5. UKPLab/sentence-transformers · recommended 2×
  • CATEGORY QUERY
    How can I build a local RAG system for PDF document question answering without cloud APIs?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LlamaIndex (run-llama/llama_index)
    3. Qdrant (qdrant/qdrant)
    4. ChromaDB (chroma-core/chroma)
    5. LangChain (langchain-ai/langchain)
    6. Hugging Face Transformers (huggingface/transformers)
    7. FAISS (facebookresearch/faiss)
    8. Haystack (deepset-ai/haystack)
    9. Sentence Transformers (UKPLab/sentence-transformers)
    10. Elasticsearch (elastic/elasticsearch)
    11. OpenSearch (opensearch-project/OpenSearch)
    12. PrivateGPT (jmorganca/privateGPT)
    13. Llama.cpp (ggerganov/llama.cpp)
    14. PyPDF2 (py-pdf/pypdf)
    15. pdfminer.six (pdfminer/pdfminer.six)
    16. NumPy (numpy/numpy)
    17. SciPy (scipy/scipy)

    AI recommended 17 alternatives but never named SaiAkhil066/CORTEX-AI-SUPER-RAG. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools offer advanced RAG techniques for accurate local document retrieval and reasoning?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. Haystack (deepset/Haystack)
    3. LangChain (langchain-ai/langchain)
    4. RAGatouille (RAGatouille/RAGatouille)
    5. Sentence-Transformers (UKPLab/sentence-transformers)
    6. FAISS (facebookresearch/faiss)
    7. Chroma (chroma-core/chroma)
    8. LanceDB (lancedb/lancedb)
    9. Weaviate (weaviate/weaviate)

    AI recommended 9 alternatives but never named SaiAkhil066/CORTEX-AI-SUPER-RAG. 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 SaiAkhil066/CORTEX-AI-SUPER-RAG?
    pass
    AI named SaiAkhil066/CORTEX-AI-SUPER-RAG explicitly

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

  • If a team adopts SaiAkhil066/CORTEX-AI-SUPER-RAG in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SaiAkhil066/CORTEX-AI-SUPER-RAG 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 SaiAkhil066/CORTEX-AI-SUPER-RAG solve, and who is the primary audience?
    pass
    AI did not name SaiAkhil066/CORTEX-AI-SUPER-RAG — 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?

Embed your GEO score

Drop this badge into the README of SaiAkhil066/CORTEX-AI-SUPER-RAG. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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