v1.0 · Neural Database

NERD

Neural Entity & Relationship Database

Deep memory as a service. A specialized database for entity-relationship graphs with neural-inspired storage. Your organization's knowledge woven into a living graph — every entity known, every relationship traced.

∞
Entities
∞
Relationships
100μs
Avg. Traversal
🜛 All Is One. One Is All.
NERD Entity Relate Graph Search

Every Entity, Known

NERD stores your world as entities — people, documents, concepts, events, code. Every one uniquely identified, richly typed, and deeply connected.

🧑

People & Roles

Team members, clients, users, stakeholders. Each linked to every document they authored, every decision they influenced.

entity_type: person
📄

Documents

Markdown, PDFs, code files, meeting notes, specifications. Ingested, indexed, and woven into the knowledge graph.

entity_type: document
💡

Concepts & Ideas

Abstract entities — design patterns, architectural decisions, principles. Traced across every project they touch.

entity_type: concept
📅

Events & Milestones

Deployments, releases, meetings, deadlines. Temporal anchors that connect entities through time.

entity_type: event
🔧

Code & Modules

Functions, modules, services, packages. Every unit of code linked to its documentation, tests, and dependents.

entity_type: code_unit
🏢

Organizations

Teams, departments, companies, projects. Hierarchical entities that group and contextualize everything below.

entity_type: organization

Every Connection, Traced

Entities alone are static. NERD's power is in the edges — typed, directed relationships that turn a collection into a living knowledge web.

⊂

Belongs To

Documents belong to projects. Code belongs to modules. People belong to teams. The fundamental containment relationship that gives your graph hierarchy.

entity —[belongs_to]→ entity
↗

References

When a document mentions a concept, cites a decision, or links to another entity. The backlink trail that makes knowledge discoverable across silos.

entity —[references]→ entity
→

Derived From

Specifications derived from requirements. Implementations derived from designs. Tests derived from specs. The provenance chain of every artifact.

entity —[derived_from]→ entity
⟷

Related To

Undirected semantic affinity. Two entities that share context, co-occur frequently, or the graph has learned are connected through use patterns.

entity —[related_to]— entity
⟐ Knowledge Graph Traversal
🎯

Entity

Start with any entity — a person, document, concept

▼ 3 edges
🔗

Relations

Follow typed edges — belongs_to, references, derived

▼ 12 nodes
🕸

Web

Discover the full subgraph — connected entities, clusters

▼ depth-first
💡

Insight

Surface patterns — who influences what, which ideas connect

◉ 47 connections

Built from the Synapse Up

NERD is engineered for depth. Every layer designed for entity-relationship storage, traversal, and retrieval at production scale.

🦀
Rust Engine
🗄
pgvector
🧠
Neural Embeddings
🔍
Hybrid RRF
🌐
Graph Traversal
🔌
MCP Server
🐳
Docker Ready
⚡
No GPU Reg'd

Memory That Scales With You

From a single team to an entire organization. NERD grows with your knowledge graph.

Core
$99/mo

For small teams. Self-hosted NERD with up to 50K entities.

  • Up to 50K entities
  • 25 relationship types
  • Basic graph traversal
  • Hybrid search (BM25 + vector)
  • REST API + MCP server
Deploy Core
Enterprise
Custom

For organizations with millions of entities. Managed or self-hosted.

  • Unlimited entities
  • Custom relationship ontologies
  • Distributed graph traversal
  • Dedicated embedding infrastructure
  • SSO, audit logs, SLA
  • Priority support & onboarding
Contact Sales

Your Knowledge Wants to Connect

Every entity in your organization is waiting to be discovered. NERD weaves them into a living graph — searchable, traversable, and always growing.

Deploy NERD Explore SoulTech