RRepoGEO

REPOGEO REPORT · LITE

rag-web-ui/rag-web-ui

Default branch main · commit 905fb046 · scanned 6/27/2026, 4:02:06 AM

GitHub: 3,050 stars · 345 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 rag-web-ui/rag-web-ui, 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's main heading to clarify it's a RAG web application

    Why:

    CURRENT
    <strong>Knowledge Base Management Based on RAG (Retrieval-Augmented Generation)</strong>
    COPY-PASTE FIX
    <strong>RAG Web UI: A Ready-to-Use Web Application for Intelligent Q&A Systems and Knowledge Base Management</strong>
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, deepseek, langchain, ollama, rag
    COPY-PASTE FIX
    ai, deepseek, langchain, ollama, rag, chatbot, web-ui, web-application, fullstack
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/rag-web-ui/rag-web-ui (or a live demo/project site URL)

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 rag-web-ui/rag-web-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. deepset/Haystack · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. FAISS · recommended 1×
  • CATEGORY QUERY
    How can I build an intelligent Q&A system using my own documents with RAG technology?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/Haystack)
    4. Hugging Face Transformers
    5. FAISS
    6. Pinecone
    7. Weaviate
    8. Chroma
    9. Qdrant
    10. RAGatouille

    AI recommended 10 alternatives but never named rag-web-ui/rag-web-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are tools for creating a web interface for a RAG-based chatbot with local LLM support?
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. Streamlit (streamlit/streamlit)
    3. Panel (holoviz/panel)
    4. FastAPI (tiangolo/fastapi)
    5. React (facebook/react)
    6. Vue (vuejs/core)
    7. Svelte (sveltejs/svelte)
    8. Flask (pallets/flask)
    9. Jinja2 (pallets/jinja)
    10. HTMX (bigskysoftware/htmx)
    11. NiceGUI (zauberzeug/nicegui)

    AI recommended 11 alternatives but never named rag-web-ui/rag-web-ui. 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 rag-web-ui/rag-web-ui?
    pass
    AI named rag-web-ui/rag-web-ui explicitly

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

  • If a team adopts rag-web-ui/rag-web-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rag-web-ui/rag-web-ui 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 rag-web-ui/rag-web-ui solve, and who is the primary audience?
    pass
    AI did not name rag-web-ui/rag-web-ui — 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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MARKDOWN (README)
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rag-web-ui/rag-web-ui — 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