# NornicDB

> NornicDB — orneryd-nornicdb. Use this tool when you need to efficiently manage and query complex graph and vector data with low latency, solving problems such as fast graph traversal, sub-millisecond search, and high-performance writes. NornicDB takes in graph and vector data through Neo4j Bolt/Cypher and qdrant's gRPC drivers, and outputs query results with intelligent features like LLM reranking and inference. Ideal for use cases requiring real-time data processing and analysis, such as recommendation systems and knowledge graphs.

Canonical page: https://skillsregistry.net/skills/orneryd-nornicdb  
JSON: https://api.skillsregistry.net/v1/skills/orneryd-nornicdb

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/orneryd/NornicDB)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "orneryd-nornicdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orneryd-nornicdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orneryd-nornicdb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt