RRepoGEO

REPOGEO REPORT · LITE

zstar1003/ragflow-plus

Default branch main · commit 3f7aac25 · scanned 5/24/2026, 5:06:41 AM

GitHub: 1,316 stars · 249 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 zstar1003/ragflow-plus, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rag, retrieval-augmented-generation, llm, ai, open-source, enterprise-rag, admin-panel, document-parsing, image-processing, ragflow
  • highreadme#2
    Reposition the README introduction to clarify its open-source, enterprise RAG platform nature

    Why:

    CURRENT
    Ragflow-Plus 是一个基于 Ragflow 的二次开发项目，目的是解决实际应用中的一些问题，主要有以下特点：
    COPY-PASTE FIX
    Ragflow-Plus 是一个开源的企业级检索增强生成 (RAG) 平台，它是 Ragflow 的一个强大二次开发版本，旨在通过增强的管理功能、简化的用户界面和高级文档解析能力，解决实际应用中的挑战。
  • mediumabout#3
    Enhance the GitHub 'About' description for better categorization

    Why:

    CURRENT
    Ragflow-Plus 是 Ragflow 的二次开发版本，使其更为简洁实用
    COPY-PASTE FIX
    一个开源的企业级RAG平台。Ragflow-Plus是Ragflow的强大二次开发版本，通过强大的管理功能、简化的用户界面和高级文档解析，为实际AI应用提供支持。

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 zstar1003/ragflow-plus
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. deepset/Haystack · recommended 1×
  4. Unstructured.io · recommended 1×
  5. RAGatouille · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source RAG system with enhanced document parsing and image support.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/Haystack)
    4. Unstructured.io
    5. RAGatouille

    AI recommended 5 alternatives but never named zstar1003/ragflow-plus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What RAG platform offers robust admin management and simplified user interfaces for enterprise use?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Search
    2. Azure OpenAI Service
    3. Azure portal
    4. Azure's SDKs
    5. Azure AI Studio
    6. AWS Kendra
    7. Amazon Bedrock
    8. AWS Management Console
    9. AWS Amplify
    10. Kendra's APIs
    11. Google Cloud Vertex AI Search and Conversation
    12. Vertex AI Generative AI Studio
    13. Google Cloud Console
    14. Elasticsearch
    15. LangChain
    16. LlamaIndex
    17. Kibana
    18. Pinecone
    19. Pinecone's console
    20. Weaviate

    AI recommended 20 alternatives but never named zstar1003/ragflow-plus. 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 zstar1003/ragflow-plus?
    pass
    AI named zstar1003/ragflow-plus explicitly

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

  • If a team adopts zstar1003/ragflow-plus in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zstar1003/ragflow-plus — 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?

  • In one sentence, what problem does the repo zstar1003/ragflow-plus solve, and who is the primary audience?
    pass
    AI named zstar1003/ragflow-plus explicitly

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

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