RRepoGEO

REPOGEO REPORT · LITE

neo4j/NaLLM

Default branch main · commit 1af09cd1 · scanned 6/23/2026, 10:38:10 PM

GitHub: 1,406 stars · 269 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
35 /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
3 / 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 neo4j/NaLLM, 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 specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, large-language-models, neo4j, knowledge-graph, graph-database, rag, retrieval-augmented-generation, natural-language-processing
  • mediumabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Repository for the NaLLM project
    COPY-PASTE FIX
    Explore and demonstrate synergies between Neo4j and Large Language Models (LLMs) for natural language interfaces, knowledge graph creation from unstructured data, and report generation.
  • lowhomepage#3
    Add a project homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://medium.com/neo4j/harnessing-large-language-models-with-neo4j-306ccbdd2867

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 neo4j/NaLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Neo4j AuraDS · recommended 1×
  4. Neo4j Graph Data Science (GDS) · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I create a natural language interface to query my graph database with LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Neo4j AuraDS
    4. Neo4j Graph Data Science (GDS)
    5. OpenAI API
    6. OpenAI's GPT-4
    7. Anthropic's Claude
    8. Google's Gemini
    9. GraphRAG (Microsoft)
    10. Apache Jena
    11. RDF4J

    AI recommended 11 alternatives but never named neo4j/NaLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build knowledge graphs from unstructured text using large language models?
    you: not recommended
    AI recommended (in order):
    1. Neo4j Knowledge Graph Platform
    2. Neo4j Bloom
    3. Neo4j Graph Data Science Library (GDS)
    4. LlamaIndex
    5. LangChain
    6. GraphRAG
    7. OpenNRE
    8. Stanford CoreNLP

    AI recommended 8 alternatives but never named neo4j/NaLLM. 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 neo4j/NaLLM?
    pass
    AI named neo4j/NaLLM explicitly

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

  • If a team adopts neo4j/NaLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neo4j/NaLLM 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 neo4j/NaLLM solve, and who is the primary audience?
    pass
    AI named neo4j/NaLLM explicitly

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

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neo4j/NaLLM — 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