orneryd/NornicDB

• highreadme#1

  Strengthen README's opening statement with full description

  原因：

  当前

  <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>

  复制粘贴的修复

  复制

  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>

  待办完成忽略
• mediumhomepage#2

  Add a project homepage URL

  原因：

  复制粘贴的修复

  复制

  Add a URL to the 'Homepage' field in the repository's 'About' section (e.g., a dedicated project website or documentation link).

  待办完成忽略
• mediumtopics#3

  Add high-level category topics for distributed and RAG

  原因：

  当前

  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

  复制粘贴的修复

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  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

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Looking for a distributed graph and vector database with temporal MVCC for RAG applications.

  你：未被推荐
  AI 推荐顺序：

  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 推荐了 11 个替代方案，却始终没点名 orneryd/NornicDB。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Need a high-performance graph and vector database compatible with Neo4j and Qdrant APIs for AI.

  你：未被推荐
  AI 推荐顺序：

  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 推荐了 13 个替代方案，却始终没点名 orneryd/NornicDB。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of orneryd/NornicDB?

  pass
  ✓AI 明确点名了 orneryd/NornicDB

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts orneryd/NornicDB in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 orneryd/NornicDB

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo orneryd/NornicDB solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 orneryd/NornicDB

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？