RRepoGEO

REPOGEO REPORT · LITE

dmayboroda/minima

Default branch main · commit e6cc03f3 · scanned 5/18/2026, 7:23:51 AM

GitHub: 1,049 stars · 103 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 dmayboroda/minima, 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
  • highreadme#1
    Strengthen README's opening statement to prevent miscategorization

    Why:

    CURRENT
    **Minima** is an open source RAG on-premises containers, with ability to integrate with ChatGPT and MCP.
    COPY-PASTE FIX
    **Minima: Your On-Premises Conversational RAG System for Private Documents.** Minima is an open source RAG on-premises containers, with ability to integrate with ChatGPT and MCP.
  • highhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://mnma.ai/
  • mediumtopics#3
    Add more specific topics for on-premises and containerized RAG

    Why:

    CURRENT
    ai, claude, custom-gpts, docker, docker-compose, huggingface, langchain, mcp, model-context-protocol, ollama, qdrant, sentence-transformers
    COPY-PASTE FIX
    ai, claude, custom-gpts, docker, docker-compose, huggingface, langchain, mcp, model-context-protocol, ollama, qdrant, sentence-transformers, on-premises-rag, containerized-rag, local-llm, private-llm

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 dmayboroda/minima
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weaviate
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weaviate · recommended 2×
  2. OpenShift · recommended 1×
  3. OpenShift AI · recommended 1×
  4. Open Data Hub · recommended 1×
  5. OpenShift Container Storage · recommended 1×
  • CATEGORY QUERY
    How to build a secure on-premises RAG system for private documents using containers?
    you: not recommended
    AI recommended (in order):
    1. OpenShift
    2. OpenShift AI
    3. Open Data Hub
    4. OpenShift Container Storage
    5. CephFS
    6. KServe
    7. Milvus
    8. Weaviate
    9. Chroma
    10. Kubernetes
    11. Rancher
    12. Rook
    13. Ceph
    14. Qdrant
    15. HPE GreenLake for Large Language Models (LLMs)
    16. HPE Ezmeral Runtime Enterprise
    17. VMware Tanzu Kubernetes Grid
    18. vSAN File Service
    19. NVIDIA AI Enterprise
    20. SUSE Rancher
    21. SUSE Enterprise Storage
    22. Kubeflow
    23. MinIO
    24. MLflow
    25. DVC
    26. Pinecone

    AI recommended 26 alternatives but never named dmayboroda/minima. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a containerized RAG solution that supports both local and cloud LLMs for document querying.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. Weaviate

    AI recommended 5 alternatives but never named dmayboroda/minima. 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 dmayboroda/minima?
    pass
    AI named dmayboroda/minima explicitly

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

  • If a team adopts dmayboroda/minima in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dmayboroda/minima 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 dmayboroda/minima solve, and who is the primary audience?
    pass
    AI named dmayboroda/minima 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 dmayboroda/minima. 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/dmayboroda/minima.svg)](https://repogeo.com/en/r/dmayboroda/minima)
HTML
<a href="https://repogeo.com/en/r/dmayboroda/minima"><img src="https://repogeo.com/badge/dmayboroda/minima.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

dmayboroda/minima — 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