RRepoGEO

REPOGEO REPORT · LITE

pashpashpash/vault-ai

Default branch master · commit 60ec5f21 · scanned 6/30/2026, 3:48:09 PM

GitHub: 3,386 stars · 298 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 pashpashpash/vault-ai, 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
    Clarify README H1 to prevent HashiCorp Vault confusion

    Why:

    CURRENT
    # OP Vault
    COPY-PASTE FIX
    # OP Vault: Custom AI Knowledge Base (NOT HashiCorp Vault)
  • mediumabout#2
    Emphasize 'full-stack application' in the description

    Why:

    CURRENT
    OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
    COPY-PASTE FIX
    OP Vault ChatGPT: A full-stack application to give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
  • mediumtopics#3
    Remove misleading topic and add clarifying one

    Why:

    CURRENT
    ai, artificial-intelligence, chatgpt, generative, go, golang, knowledge-base, long-term-memory, machine-learning, openai, openai-api, pdf-support, pinecone, qdrant-vector-database, question-answering, react, reactjs, vector-search
    COPY-PASTE FIX
    ai, artificial-intelligence, chatgpt, generative, go, golang, knowledge-base, long-term-memory, machine-learning, openai, openai-api, pdf-support, pinecone, question-answering, react, reactjs, vector-search, full-stack-application

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 pashpashpash/vault-ai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 2 · recommended 2×
  2. Weaviate · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Elasticsearch · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    How to build a custom knowledge base for AI with document upload and retrieval?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI API
    3. Anthropic Claude
    4. Google Gemini
    5. Llama 2
    6. Pinecone
    7. ChromaDB
    8. Weaviate
    9. LlamaIndex
    10. FAISS
    11. Elasticsearch
    12. Haystack
    13. OpenSearch
    14. Hugging Face Models
    15. Python
    16. scikit-learn
    17. spaCy
    18. Annoy
    19. Flask
    20. Django
    21. Microsoft Azure AI Search
    22. AWS Kendra
    23. Google Cloud Search

    AI recommended 23 alternatives but never named pashpashpash/vault-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open-source solution for document-based Q&A using a Go backend and React UI?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. Weaviate
    4. Qdrant
    5. Elasticsearch
    6. Milvus
    7. Zilliz
    8. OpenAI
    9. Hugging Face
    10. Ollama
    11. Anthropic
    12. Claude
    13. Llama 2
    14. Mixtral
    15. Gemma
    16. vLLM

    AI recommended 16 alternatives but never named pashpashpash/vault-ai. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 pashpashpash/vault-ai?
    pass
    AI named pashpashpash/vault-ai explicitly

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

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