RRepoGEO

REPOGEO REPORT · LITE

TheAiSingularity/graphrag-local-ollama

Default branch main · commit a12eb86a · scanned 6/19/2026, 5:33:30 PM

GitHub: 1,102 stars · 164 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
22 /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
1 / 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 TheAiSingularity/graphrag-local-ollama, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to clarify its unique offering

    Why:

    CURRENT
    Welcome to **GraphRAG Local Ollama**! This repository is an exciting adaptation of Microsoft's GraphRAG, tailored to support local models downloaded using Ollama. Say goodbye to costly OpenAPI models and hello to efficient, cost-effective local inference using Ollama!
    COPY-PASTE FIX
    GraphRAG Local Ollama is a ready-to-use solution that adapts Microsoft's GraphRAG framework to run entirely with local large language models via Ollama, enabling cost-effective and private knowledge graph generation and RAG. This project provides a complete, self-contained environment for building knowledge graphs and performing retrieval-augmented generation without relying on cloud APIs.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/TheAiSingularity/graphrag-local-ollama

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 TheAiSingularity/graphrag-local-ollama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. LM Studio · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How to run large language models locally for retrieval augmented generation without cloud APIs?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LlamaIndex (run-llama/llama_index)
    3. LangChain (langchain-ai/langchain)
    4. LM Studio
    5. Hugging Face Transformers (huggingface/transformers)
    6. GPT4All (nomic-ai/gpt4all)
    7. PrivateGPT (imartinez/privateGPT)
    8. ChromaDB (chroma-core/chroma)
    9. FAISS (facebookresearch/faiss)
    10. Qdrant (qdrant/qdrant)
    11. Sentence-Transformers (UKPLab/sentence-transformers)

    AI recommended 11 alternatives but never named TheAiSingularity/graphrag-local-ollama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for building knowledge graphs using local large language models for summarization.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. GraphRAG
    4. Haystack
    5. Spacy
    6. NetworkX
    7. pyKEEN
    8. AmpliGraph

    AI recommended 8 alternatives but never named TheAiSingularity/graphrag-local-ollama. 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 TheAiSingularity/graphrag-local-ollama?
    pass
    AI did not name TheAiSingularity/graphrag-local-ollama — 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 TheAiSingularity/graphrag-local-ollama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TheAiSingularity/graphrag-local-ollama 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 TheAiSingularity/graphrag-local-ollama solve, and who is the primary audience?
    pass
    AI did not name TheAiSingularity/graphrag-local-ollama — 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?

Embed your GEO score

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TheAiSingularity/graphrag-local-ollama — 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