open-brainy/docs/guides/quick-start.md
David Snelling a99b1e83c4 chore: rename to @soulcraftlabs/brainy for Open Brainy on The Source
Prepares the repo for its new home at soulcraftlabs/open-brainy ahead
of the Forgejo transfer: package name, publish registry, release
script, and every install/import reference across docs, src, tests,
examples, and integrations now point at @soulcraftlabs/brainy on
The Source. The npmjs storefront leg and byte-identity pair
verification are stripped from the release script — The Source is
now the only publish target. README gains an Open Brainy explainer
and a registry note for consumers.

@soulcraft/brainy 10.4.2 was the last release under the old name.
2026-08-27 17:07:09 -07:00

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Markdown

---
title: Quick Start
slug: getting-started/quick-start
public: true
category: getting-started
template: guide
order: 2
description: Build your first knowledge graph in 60 seconds. Add entities, create relationships, and query with Triple Intelligence — vector + graph + metadata in one call.
next:
- concepts/triple-intelligence
- api/reference
---
# Quick Start
Get Brainy running in under a minute.
## 1. Install
```bash
npm install @soulcraftlabs/brainy
```
## 2. Initialize
```typescript
import { Brainy, NounType, VerbType } from '@soulcraftlabs/brainy'
const brain = new Brainy()
await brain.init()
```
That's it. Brainy auto-configures storage, loads the embedding model, and builds the indexes.
## 3. Add Knowledge
```typescript
// Text is automatically embedded into 384-dim vectors
const reactId: string = await brain.add({
data: 'React is a JavaScript library for building user interfaces',
type: NounType.Concept,
subtype: 'library', // Sub-classification within Concept
metadata: { category: 'frontend', year: 2013 }
})
const nextId: string = await brain.add({
data: 'Next.js framework for React with server-side rendering',
type: NounType.Concept,
subtype: 'framework',
metadata: { category: 'framework', year: 2016 }
})
```
`type` is one of Brainy's 42 stable NounTypes. `subtype` is your free-form sub-classification within that type — flat string, no hierarchy, indexed on the fast path. See **[Subtypes & Facets](./subtypes-and-facets.md)** for the full guide.
## 4. Create Relationships
```typescript
// Typed graph relationships
await brain.relate({
from: nextId,
to: reactId,
type: VerbType.DependsOn
})
```
## 5. Query with Triple Intelligence
```typescript
import type { Result } from '@soulcraftlabs/brainy'
// All three search paradigms in one call
const results: Result[] = await brain.find({
query: 'modern frontend frameworks', // Vector similarity search
where: { year: { greaterThan: 2015 } }, // Metadata filtering
connected: { to: reactId, depth: 2 } // Graph traversal
})
console.log(results[0].data) // 'Next.js framework for React...'
console.log(results[0].score) // 0.94
```
## What Just Happened
Every entity you `add()` lives in three indexes simultaneously:
| Index | What it stores | Query with |
|-------|---------------|------------|
| Vector | 384-dim embedding of `data` | `find({ query: '...' })` |
| Metadata | All `metadata` fields | `find({ where: { ... } })` |
| Graph | Typed relationships from `relate()` | `find({ connected: { ... } })` |
`find()` queries all three in parallel and fuses the results.
## Natural Language Queries
Brainy understands 220+ natural language patterns:
```typescript
// These all work without any configuration
await brain.find({ query: 'recent documents about machine learning' })
await brain.find({ query: 'articles created this week' })
await brain.find({ query: 'people who work at Anthropic' })
```
## Next Steps
- [Triple Intelligence](/docs/concepts/triple-intelligence) — understand how the query engine works
- [The Find System](/docs/guides/find-system) — advanced queries, operators, and graph traversal
- [API Reference](/docs/api/reference) — complete method documentation
- [Storage Adapters](/docs/guides/storage-adapters) — filesystem, memory