David Snelling
0ddc05a5bb
- Store data opaquely in add() and update() instead of spreading object properties into top-level metadata. data is for semantic search (HNSW), metadata is for structured where-filter queries (MetadataIndex). - Fix numeric range queries in MetadataIndex — use numeric-aware comparison instead of lexicographic string comparison for normalized values. - Add data field to RelateParams and Relation types for relationship content. - Add where.type → where.noun alias in metadata-only find() path. - Rewrite README: focused ~350 lines from 791, quick start first, feature showcase with mini-snippets, organized doc links, no version callouts. - Add DATA_MODEL.md and QUERY_OPERATORS.md reference docs. - Remove 10 outdated/redundant doc files consolidated into API reference. - Improve JSDoc on Entity, Relation, AddParams, FindParams, and core methods. - Fix tests asserting data properties appear in metadata (data model violation). - Deprecate verb.source/target in favor of from/to (public) and sourceId/targetId (storage).
352 lines
12 KiB
Markdown
352 lines
12 KiB
Markdown
# Brainy
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<p align="center">
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<img src="https://raw.githubusercontent.com/soulcraftlabs/brainy/main/brainy.png" alt="Brainy Logo" width="200">
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</p>
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[](https://www.npmjs.com/package/@soulcraft/brainy)
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[](https://www.npmjs.com/package/@soulcraft/brainy)
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[](https://soulcraft.com/docs)
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[](LICENSE)
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[](https://www.typescriptlang.org/)
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**Three database paradigms. One API. Zero configuration.**
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Built because we were tired of stitching together Pinecone + Neo4j + MongoDB and spending weeks on configuration before writing a single line of business logic. Brainy unifies vector search, graph traversal, and metadata filtering so you don't have to choose.
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---
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## Install
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```bash
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npm install @soulcraft/brainy
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```
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## Quick Start
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```javascript
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import { Brainy, NounType, VerbType } from '@soulcraft/brainy'
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const brain = new Brainy()
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await brain.init()
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// Add knowledge — text auto-embeds, metadata auto-indexes
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const reactId = await brain.add({
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data: 'React is a JavaScript library for building user interfaces',
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type: NounType.Concept,
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metadata: { category: 'frontend', year: 2013 }
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})
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const nextId = await brain.add({
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data: 'Next.js framework for React with server-side rendering',
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type: NounType.Concept,
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metadata: { category: 'framework', year: 2016 }
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})
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// Create a relationship
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await brain.relate({ from: nextId, to: reactId, type: VerbType.BuiltOn })
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// Query all three paradigms at once
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const results = await brain.find({
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query: 'modern frontend frameworks', // Vector similarity
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where: { year: { greaterThan: 2015 } }, // Metadata filtering
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connected: { to: reactId, depth: 2 } // Graph traversal
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})
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```
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**[Full API Reference](docs/api/README.md)** | **[soulcraft.com/docs](https://soulcraft.com/docs)**
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---
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## Three Indexes, One Query
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Every piece of knowledge lives in three indexes simultaneously:
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- **`data`** → **Vector index** — Content for semantic search. Strings auto-embed into 384-dim vectors. Queried with `find({ query: '...' })`.
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- **`metadata`** → **Metadata index** — Structured fields for filtering. O(1) lookups. Queried with `find({ where: { ... } })`.
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- **`relate()`** → **Graph index** — Typed, directed relationships between entities. Traversed with `find({ connected: { ... } })`.
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```javascript
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// Data → vector index (semantic search)
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const articleId = await brain.add({
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data: 'A deep dive into transformer architectures',
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type: NounType.Document,
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metadata: { author: 'Dr. Chen', year: 2024, tags: ['AI'] } // → metadata index
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})
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// Relationships → graph index
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await brain.relate({ from: authorId, to: articleId, type: VerbType.Authored })
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// Query all three at once
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brain.find({
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query: 'attention mechanisms', // Vector similarity
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where: { year: { greaterThan: 2023 } }, // Metadata filter
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connected: { from: authorId, depth: 1 } // Graph traversal
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})
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```
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**[Data Model Reference](docs/DATA_MODEL.md)** | **[Query Operators](docs/QUERY_OPERATORS.md)**
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---
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## Features
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### Triple Intelligence
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Vector search + graph traversal + metadata filtering in every query. No stitching services together — one `find()` call combines all three.
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```javascript
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const results = await brain.find({
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query: 'machine learning',
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where: { department: 'engineering', level: 'senior' },
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connected: { from: teamLeadId, via: VerbType.WorksWith, depth: 2 }
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})
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```
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### Hybrid Search
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Automatically combines keyword (text) and semantic (vector) search. No configuration needed.
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```javascript
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await brain.find({ query: 'David Smith' }) // Auto: text + semantic
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await brain.find({ query: 'AI concepts', searchMode: 'semantic' }) // Semantic only
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await brain.find({ query: 'exact id', searchMode: 'text' }) // Text only
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```
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### Query Operators
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Filter metadata with equality, comparison, array, existence, pattern, and logical operators:
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```javascript
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await brain.find({
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where: {
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status: 'active', // Exact match
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score: { greaterThan: 90 }, // Comparison
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tags: { contains: 'ai' }, // Array
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anyOf: [{ role: 'admin' }, { role: 'owner' }] // Logical OR
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}
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})
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```
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**[Query Operators Reference](docs/QUERY_OPERATORS.md)** — all operators with indexed/in-memory matrix
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### Graph Relationships
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Typed, directed edges between entities. Traverse connections at any depth.
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```javascript
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await brain.relate({ from: personId, to: projectId, type: VerbType.WorksOn })
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const results = await brain.find({
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connected: { from: personId, via: VerbType.WorksOn, depth: 3 }
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})
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```
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### Git-Style Branching
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Fork your entire database in <100ms. Snowflake-style copy-on-write.
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```javascript
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const experiment = await brain.fork('test-migration')
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await experiment.add({ data: 'test data', type: NounType.Concept })
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await experiment.commit({ message: 'Add test data', author: 'dev@co.com' })
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await brain.checkout('test-migration')
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// Time-travel: query at any past commit
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const snapshot = await brain.asOf(commitId)
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const pastResults = await snapshot.find({ query: 'historical data' })
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await snapshot.close()
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```
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**[Branching Documentation](docs/features/instant-fork.md)**
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### Entity Versioning
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Save, restore, and compare entity snapshots.
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```javascript
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const userId = await brain.add({ data: 'Alice', type: NounType.Person })
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await brain.versions.save(userId, { tag: 'v1.0' })
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await brain.update(userId, { data: 'Alice Smith' })
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await brain.versions.save(userId, { tag: 'v2.0' })
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const diff = await brain.versions.compare(userId, 1, 2)
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await brain.versions.restore(userId, 1)
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```
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### Virtual Filesystem
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File operations with semantic search built in.
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```javascript
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const vfs = brain.vfs
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await vfs.writeFile('/docs/readme.md', 'Project documentation')
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const content = await vfs.readFile('/docs/readme.md')
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const tree = await vfs.getTreeStructure('/docs', { maxDepth: 3 })
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// Semantic file search
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const matches = await vfs.search('React components with hooks')
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```
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**[VFS Quick Start](docs/vfs/QUICK_START.md)** | **[Common Patterns](docs/vfs/COMMON_PATTERNS.md)**
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### Import Anything
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CSV, Excel, PDF, URLs — auto-detected format, auto-classified entities.
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```javascript
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await brain.import('customers.csv')
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await brain.import('sales-data.xlsx', { excelSheets: ['Q1', 'Q2'] })
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await brain.import('research-paper.pdf', { pdfExtractTables: true })
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await brain.import('https://api.example.com/data.json')
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```
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**[Import Guide](docs/guides/import-anything.md)**
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### Entity Extraction
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AI-powered named entity recognition with 4-signal ensemble scoring.
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```javascript
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const entities = await brain.extractEntities('John Smith founded Acme Corp in New York')
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// [
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// { text: 'John Smith', type: NounType.Person, confidence: 0.95 },
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// { text: 'Acme Corp', type: NounType.Organization, confidence: 0.92 },
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// { text: 'New York', type: NounType.Location, confidence: 0.88 }
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// ]
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```
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**[Neural Extraction Guide](docs/neural-extraction.md)**
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### Plugin System
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Optional native acceleration via `@soulcraft/cortex` — SIMD distance calculations, CRoaring bitmaps, Candle ML embeddings.
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```javascript
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const brain = new Brainy({ plugins: ['@soulcraft/cortex'] })
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await brain.init()
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```
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Plugins are opt-in. Brainy never auto-imports packages unless listed in `plugins`.
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**[Plugin Documentation](docs/PLUGINS.md)**
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---
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## Type System
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42 noun types and 127 verb types form a universal knowledge protocol:
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```
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42 Nouns × 127 Verbs = 5,334 base relationship combinations
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```
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Model any domain — healthcare (`Patient → diagnoses → Condition`), finance (`Account → transfers → Transaction`), education (`Student → completes → Course`), or your own.
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**[Noun-Verb Taxonomy](docs/architecture/noun-verb-taxonomy.md)** | **[Stage 3 Canonical Reference](docs/STAGE3-CANONICAL-TAXONOMY.md)**
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---
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## Storage: Memory to Cloud
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The same API at every scale. Change one config line to go from prototype to production.
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### Development — Zero Config
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```javascript
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const brain = new Brainy()
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```
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### Production — Filesystem with Compression
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```javascript
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const brain = new Brainy({
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storage: { type: 'filesystem', path: './data', compression: true }
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})
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```
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### Cloud — S3, GCS, Azure, Cloudflare R2
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```javascript
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const brain = new Brainy({
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storage: {
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type: 's3',
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s3Storage: { bucketName: 'my-knowledge-base', region: 'us-east-1' }
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}
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})
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```
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Performance benchmarks and capacity planning in **[docs/PERFORMANCE.md](docs/PERFORMANCE.md)**.
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**[Cloud Deployment Guide](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md)** | **[Capacity Planning](docs/operations/capacity-planning.md)**
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---
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## Use Cases
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- **AI agents** — Persistent memory with semantic recall and relationship tracking
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- **Knowledge bases** — Auto-linking, semantic search, relationship-aware navigation
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- **Semantic search** — Find by meaning across codebases, documents, or media
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- **Enterprise knowledge** — CRM, product catalogs, institutional memory
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- **Interactive experiences** — Game worlds, NPCs, and characters that remember
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- **Content platforms** — Similarity-based discovery, intelligent tagging
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---
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## Documentation
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### Core
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- **[API Reference](docs/api/README.md)** — Every method with parameters, returns, and examples
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- **[Data Model](docs/DATA_MODEL.md)** — Entity structure, data vs metadata
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- **[Query Operators](docs/QUERY_OPERATORS.md)** — All BFO operators with examples
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- **[Find System](docs/FIND_SYSTEM.md)** — Natural language find() and hybrid search
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### Architecture
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- **[Architecture Overview](docs/architecture/overview.md)** — System design and components
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- **[Triple Intelligence](docs/architecture/triple-intelligence.md)** — Vector + graph + metadata unified query
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- **[Noun-Verb Taxonomy](docs/architecture/noun-verb-taxonomy.md)** — Universal type system
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- **[Data Storage Architecture](docs/architecture/data-storage-architecture.md)** — Type-aware indexing and HNSW
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### Virtual Filesystem
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- **[VFS Quick Start](docs/vfs/QUICK_START.md)** — Build file explorers that never crash
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- **[VFS Core](docs/vfs/VFS_CORE.md)** — Full VFS API reference
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- **[Semantic VFS](docs/vfs/SEMANTIC_VFS.md)** — AI-powered file navigation
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### Guides
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- **[Import Anything](docs/guides/import-anything.md)** — CSV, Excel, PDF, URLs
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- **[Framework Integration](docs/guides/framework-integration.md)** — React, Vue, Angular, Svelte
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- **[Natural Language Queries](docs/guides/natural-language.md)** — Master the find() method
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### Operations
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- **[Cloud Deployment](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md)** — AWS, GCS, Azure
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- **[Capacity Planning](docs/operations/capacity-planning.md)** — Memory, storage, and scaling
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- **[Performance](docs/PERFORMANCE.md)** — Benchmarks and architecture details
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- Cost Optimization: **[AWS S3](docs/operations/cost-optimization-aws-s3.md)** | **[GCS](docs/operations/cost-optimization-gcs.md)** | **[Azure](docs/operations/cost-optimization-azure.md)** | **[R2](docs/operations/cost-optimization-cloudflare-r2.md)**
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---
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## Requirements
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**Bun 1.0+** (recommended) or **Node.js 22 LTS**
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```bash
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bun install @soulcraft/brainy # Bun — best performance
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npm install @soulcraft/brainy # Node.js — fully supported
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```
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> **Deprecation Notice:** Browser support (OPFS, Web Workers, WASM embeddings) is deprecated in v7.10.0 and will be removed in v8.0.0. Brainy v8+ will be server-only.
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## Contributing
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We welcome contributions! See **[CONTRIBUTING.md](CONTRIBUTING.md)** for guidelines.
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## License
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MIT © Brainy Contributors
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