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NornicDB

orneryd/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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881 stars52 forksLast push Sep 19, 2026 Go MIT

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

Verify the decision

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.dev

Similar 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.

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