RRepoGEO

REPOGEO REPORT · LITE

win4r/GraphRAG4OpenWebUI

Default branch main · commit 249d7cf4 · scanned 6/13/2026, 5:38:23 AM

GitHub: 600 stars · 124 forks

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 win4r/GraphRAG4OpenWebUI, 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
    Emphasize 'API' and 'Q&A systems/search engines' in README's opening

    Why:

    CURRENT
    GraphRAG4OpenWebUI is an API interface specifically designed for Open WebUI, aiming to integrate Microsoft Research's GraphRAG (Graph-based Retrieval-Augmented Generation) technology. This project provides a powerful information retrieval system that supports multiple search models, particularly suitable for use in open web user interfaces.
    COPY-PASTE FIX
    GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines, simplifying graph-based retrieval integration in open web environments.
  • mediumtopics#2
    Add more specific topics related to API, Q&A, and knowledge graphs

    Why:

    CURRENT
    aiagents, graphrag, llms, ollama, openai, openwebui, rag
    COPY-PASTE FIX
    aiagents, graphrag, llms, ollama, openai, openwebui, rag, api, q-and-a, knowledge-graph, information-retrieval, search-engine, llm-integration
  • mediumreadme#3
    Add a dedicated 'Why GraphRAG4OpenWebUI?' section to clarify core differentiator

    Why:

    COPY-PASTE FIX
    ## Why GraphRAG4OpenWebUI?
Unlike generic RAG solutions or standalone graph databases, GraphRAG4OpenWebUI provides a dedicated API layer for Open WebUI, specifically integrating Microsoft's GraphRAG for advanced, multi-modal information retrieval. It uniquely combines local, global, and web searches, leveraging graph structures to deliver precise and comprehensive answers for Q&A systems and search engines within an open web environment.

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 win4r/GraphRAG4OpenWebUI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 1×
  2. Cypher · recommended 1×
  3. Graph Data Science Library (GDS) · recommended 1×
  4. Amazon Neptune · recommended 1×
  5. Gremlin · recommended 1×
  • CATEGORY QUERY
    How can I integrate advanced graph-based retrieval for better Q&A in open web environments?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Cypher
    3. Graph Data Science Library (GDS)
    4. Amazon Neptune
    5. Gremlin
    6. SPARQL
    7. AWS Kendra
    8. OpenSearch
    9. TypeDB
    10. TypeQL
    11. DGL (Deep Graph Library)
    12. PyTorch Geometric (PyG)
    13. Graph Neural Networks (GNNs)
    14. Google Cloud Knowledge Graph API
    15. RDFox
    16. Stardog
    17. OWL
    18. RDFS
    19. Elasticsearch

    AI recommended 19 alternatives but never named win4r/GraphRAG4OpenWebUI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools combine local knowledge with web search for comprehensive AI assistant information retrieval?
    you: not recommended
    AI recommended (in order):
    1. Perplexity AI
    2. ChatGPT
    3. Microsoft Copilot
    4. Google Gemini
    5. YouChat
    6. LangChain
    7. LlamaIndex
    8. Poe

    AI recommended 8 alternatives but never named win4r/GraphRAG4OpenWebUI. 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 win4r/GraphRAG4OpenWebUI?
    pass
    AI did not name win4r/GraphRAG4OpenWebUI — 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 win4r/GraphRAG4OpenWebUI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named win4r/GraphRAG4OpenWebUI 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 win4r/GraphRAG4OpenWebUI solve, and who is the primary audience?
    pass
    AI named win4r/GraphRAG4OpenWebUI 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 win4r/GraphRAG4OpenWebUI. 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/win4r/GraphRAG4OpenWebUI.svg)](https://repogeo.com/en/r/win4r/GraphRAG4OpenWebUI)
HTML
<a href="https://repogeo.com/en/r/win4r/GraphRAG4OpenWebUI"><img src="https://repogeo.com/badge/win4r/GraphRAG4OpenWebUI.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

win4r/GraphRAG4OpenWebUI — 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