RRepoGEO

REPOGEO REPORT · LITE

pashpashpash/vault-ai

Default branch master · commit 60ec5f21 · scanned 5/19/2026, 7:58:09 AM

GitHub: 3,395 stars · 300 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
    Reposition the README H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # OP Vault

OP Vault uses the OP Stack (OpenAI + Pinecone Vector Database) to enable users to upload their own custom knowledgebase files and ask questions about their contents.
    COPY-PASTE FIX
    # OP Vault: Personal AI Knowledge Base for ChatGPT

OP Vault is a full-stack application that gives ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). It allows users to upload their own custom knowledge base files (PDF, txt, epub, etc.) and ask questions about their contents via a simple React frontend.
  • mediumtopics#2
    Add more application-specific topics

    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, qdrant-vector-database, question-answering, react, reactjs, vector-search, document-qa, personal-ai-assistant, custom-llm-app, fullstack-ai-app
  • mediumreadme#3
    Add a bullet point to the 'What can you do?' section emphasizing long-term memory for AI assistants

    Why:

    COPY-PASTE FIX
    Add the following bullet point to the 'What can you do with OP Vault?' section:
-   Provide your AI assistant with long-term memory by building a custom knowledge base from your uploaded documents.

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
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. unidoc/unipdf · recommended 2×
  3. LangChain · recommended 1×
  4. Chroma · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How to give an AI assistant long-term memory using custom document uploads?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Chroma
    4. Weaviate
    5. PyPDFLoader
    6. UnstructuredHTMLLoader
    7. RecursiveCharacterTextSplitter
    8. OpenAI text-embedding-ada-002
    9. SentenceTransformers
    10. OpenAI GPT-4
    11. Anthropic Claude
    12. LlamaIndex
    13. Milvus
    14. Qdrant
    15. OpenAI Assistants API
    16. FAISS
    17. PyPDF2
    18. python-docx
    19. NLTK
    20. spaCy
    21. Azure AI Search

    AI recommended 21 alternatives but never named pashpashpash/vault-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Go framework helps build a question-answering system from uploaded PDF files?
    you: not recommended
    AI recommended (in order):
    1. Go-PDF (unidoc/unipdf)
    2. LlamaIndex (run-llama/llama_index_go)
    3. ChromaDB (chroma-core/chroma)
    4. LangChain-Go (tmc/langchaingo)
    5. Qdrant (qdrant/qdrant)
    6. Haystack (deepset-ai/haystack)
    7. Weaviate (weaviate/weaviate)
    8. Gollum (go-nlp/gollum)
    9. Pinecone
    10. gopdf (unidoc/unipdf)
    11. go-torch (gorgonia/go-torch)
    12. bleve (blevesearch/bleve)

    AI recommended 12 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 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?

  • 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 named pashpashpash/vault-ai explicitly

    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