RRepoGEO

REPOGEO REPORT · LITE

AllAboutAI-YT/easy-local-rag

Default branch main · commit 0e64997a · scanned 5/14/2026, 4:32:09 AM

GitHub: 1,224 stars · 341 forks

AI VISIBILITY SCORE
22 /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
1 / 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 AllAboutAI-YT/easy-local-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

2 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
    local-rag, ollama, email-rag, llm, python, ai, generative-ai, private-ai, local-llm
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.youtube.com/c/AllAboutAI

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 AllAboutAI-YT/easy-local-rag
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. PrivateGPT/PrivateGPT · recommended 1×
  3. ollama/ollama · recommended 1×
  4. Mintplex-Labs/anythingllm · recommended 1×
  5. PromtEngineer/localGPT · recommended 1×
  • CATEGORY QUERY
    How can I easily set up a fully local RAG system for my private documents?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. PrivateGPT (PrivateGPT/PrivateGPT)
    3. Ollama (ollama/ollama)
    4. AnythingLLM (Mintplex-Labs/anythingllm)
    5. LocalGPT (PromtEngineer/localGPT)
    6. Jan (janhq/jan)
    7. Quivr (StanGirard/quivr)

    AI recommended 7 alternatives but never named AllAboutAI-YT/easy-local-rag. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source options for building a local RAG solution for my emails?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Ollama
    4. Llama 3
    5. Mixtral
    6. Gemma
    7. Chroma
    8. FAISS
    9. Haystack
    10. RAGatouille
    11. Sentence-Transformers

    AI recommended 11 alternatives but never named AllAboutAI-YT/easy-local-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 AllAboutAI-YT/easy-local-rag?
    pass
    AI did not name AllAboutAI-YT/easy-local-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?

  • If a team adopts AllAboutAI-YT/easy-local-rag in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AllAboutAI-YT/easy-local-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 AllAboutAI-YT/easy-local-rag solve, and who is the primary audience?
    pass
    AI did not name AllAboutAI-YT/easy-local-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?

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AllAboutAI-YT/easy-local-rag — 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