RRepoGEO

REPOGEO REPORT · LITE

rag-web-ui/rag-web-ui

Default branch main · commit 905fb046 · scanned 5/16/2026, 8:32:11 AM

GitHub: 3,002 stars · 339 forks

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 README introduction to emphasize 'ready-to-deploy web application'

    Why:

    CURRENT
    RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology that helps build intelligent Q&A systems based on your own knowledge base.
    COPY-PASTE FIX
    RAG Web UI is a ready-to-deploy web application that provides a complete intelligent dialogue system for building and managing Q&A systems based on your own knowledge base, powered by Retrieval-Augmented Generation (RAG) technology.
  • hightopics#2
    Add specific topics to improve category visibility

    Why:

    CURRENT
    ai, deepseek, langchain, ollama, rag
    COPY-PASTE FIX
    ai, deepseek, langchain, ollama, rag, web-ui, rag-application, q-a-system, knowledge-base-management, llm-ui
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/rag-web-ui/rag-web-ui

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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Haystack · recommended 2×
  4. Weaviate · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build an intelligent Q&A system from my own documents using RAG?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Weaviate
    5. Pinecone
    6. OpenSearch
    7. Qdrant

    AI recommended 7 alternatives but never named rag-web-ui/rag-web-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a web interface to manage RAG knowledge bases with local and cloud LLMs.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Streamlit
    3. Gradio
    4. Next.js
    5. Sentence Transformers
    6. OpenAI
    7. Cohere
    8. Llama.cpp
    9. Ollama
    10. Hugging Face
    11. Anthropic
    12. Google Gemini
    13. LangChain
    14. Haystack
    15. OpenWebUI
    16. Dify
    17. FlowiseAI

    AI recommended 17 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 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?

  • 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 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?

Embed your GEO score

Drop this badge into the README of rag-web-ui/rag-web-ui. 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/rag-web-ui/rag-web-ui.svg)](https://repogeo.com/en/r/rag-web-ui/rag-web-ui)
HTML
<a href="https://repogeo.com/en/r/rag-web-ui/rag-web-ui"><img src="https://repogeo.com/badge/rag-web-ui/rag-web-ui.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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