RRepoGEO

REPOGEO REPORT · LITE

orneryd/NornicDB

Default branch main · commit 41372f7a · scanned 6/15/2026, 10:06:36 PM

GitHub: 773 stars · 44 forks

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 orneryd/NornicDB, 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
    Strengthen README's opening statement with full description

    Why:

    CURRENT
    <strong>Graph, vector, and historical truth in one database</strong><br/>
Neo4j-compatible • Hybrid graph + vector retrieval • Historical reads via MVCC<br/>
<em>Achieving Psygnosis for AI</em>
    COPY-PASTE FIX
    Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.<br/>
Neo4j-compatible • Hybrid graph + vector retrieval • Historical reads via MVCC<br/>
<em>Achieving Psygnosis for AI</em>
  • mediumhomepage#2
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    Add a URL to the 'Homepage' field in the repository's 'About' section (e.g., a dedicated project website or documentation link).
  • mediumtopics#3
    Add high-level category topics for distributed and RAG

    Why:

    CURRENT
    bolt, cypher, database, enterprise-solutions, golang, graph-rag, graphql, hnsw, local-llm, mcp-server, memoryos, mvcc, neo4j, openai-api, qdrant-vector-database, snapshot-isolation, tlp, vector-database, vector-search
    COPY-PASTE FIX
    bolt, cypher, database, distributed-database, enterprise-solutions, golang, graph-rag, graphql, hnsw, local-llm, mcp-server, memoryos, mvcc, neo4j, openai-api, qdrant-vector-database, rag-applications, snapshot-isolation, tlp, vector-database, vector-search

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 orneryd/NornicDB
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TigerGraph
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TigerGraph · recommended 2×
  2. Neo4j · recommended 2×
  3. Neo4j AuraDS · recommended 2×
  4. ArangoDB · recommended 2×
  5. JanusGraph · recommended 2×
  • CATEGORY QUERY
    Looking for a distributed graph and vector database with temporal MVCC for RAG applications.
    you: not recommended
    AI recommended (in order):
    1. TigerGraph
    2. Neo4j
    3. Neo4j AuraDS
    4. ArangoDB
    5. JanusGraph
    6. Apache Cassandra
    7. HBase
    8. Faiss
    9. HNSWlib
    10. Dgraph
    11. Milvus

    AI recommended 11 alternatives but never named orneryd/NornicDB. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a high-performance graph and vector database compatible with Neo4j and Qdrant APIs for AI.
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Neo4j AuraDS
    3. Qdrant
    4. qdrant-client
    5. Memgraph
    6. TigerGraph
    7. AstraDB (DataStax)
    8. Apache Cassandra
    9. ArangoDB
    10. JanusGraph
    11. Elasticsearch
    12. HBase
    13. GraphDB (Ontotext)

    AI recommended 13 alternatives but never named orneryd/NornicDB. 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 orneryd/NornicDB?
    pass
    AI named orneryd/NornicDB explicitly

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

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

    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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MARKDOWN (README)
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orneryd/NornicDB — 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