NornicDB
Distributed Graph+Vector Database with Temporal MVCC and Low-Latency HNSW Search
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Distributed graph+vector database with sub-millisecond latency and GPU acceleration
Good fit when
- When you need both graph traversal capabilities and fast vector searches.
- To utilize its built-in intelligent features such as managed embeddings, reranking, and auto-TLP without needing to configure these manually.
Avoid when
- If your application primarily requires traditional SQL database operations without the need for low-latency vector search or graph traversal.
- When you need a specialized tool, whether purely a graph database or a vector database, but not an integrated solution like NornicDB.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 4 low (4 low)
- As of Aug 30, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/orneryd/NornicDB pkg.go.devSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Nornicdb offers a combination of graph database capabilities with vector search functionality, featuring sub-millisecond operations, managed embeddings, and GPU acceleration.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Languages
- go
Source: github.language · Sep 20, 2026
Categories
Tags
README
Deployment Patterns NornicDB is being used in internal production deployments for stack consolidation workloads where graph traversal, vector retrieval, and auditability need to live in the same system. Agent and Graph RAG systems : replacing a Neo4j + Qdrant + embeddings stack w...
For agents
This page has a .md twin and JSON over the API.