David Snelling
2c84f86815
asOf() answers "state AT a point"; these answer "what happened BETWEEN two
points" and "one entity's whole history", all on the existing generation records.
- Extract resolveAsOfGeneration() as the shared gen|Date→{generation,timestamp}
chokepoint (reachability + Date semantics identical everywhere). asOf()'s
inclusive path is byte-identical — db-mvcc still 25/25.
- asOf(target, { exclusive }) — strict-before (resolved−1, clamped at gen 0,
never a RangeError).
- db.since(Db | generation | Date) — overload; number/Date resolve via the shared
resolver (new DbHost.resolveGeneration); EXCLUSIVE lower bound;
since(db) === since(db.generation). Same-store guard via Db.belongsToStore.
- brain.diff(a, b) → { added, removed, modified } split by nouns/verbs. EARNS its
name: candidate set is ONLY changedBetween(gLow,gHigh), each classified by
existence at both endpoints + a key-order-insensitive value compare
(new src/db/stableEqual.ts) — a touched-but-reverted / born-and-died id is in
no bucket.
- brain.history(id, { from, to }) → every distinct version oldest→newest, each
value === asOf(version.generation).get(id); null = removal; kind auto-detected
(throws on UUID-space collision). New store helper generationsTouching().
- brain.transactionLog({ from, to, limit }) — INCLUSIVE generation/Date window
(contrast since's exclusive lower bound); limit applied last.
- Compaction policy locked: diff/since THROW GenerationCompactedError below the
horizon; history TRUNCATES to it.
Types DiffResult/HistoryVersion/EntityHistory exported from the package root.
Tests: tests/integration/db-temporal.test.ts (8 proofs incl. diff-earns-its-name,
history↔asOf cross-check, the composition proof, granularity, compaction contrast)
+ tests/unit/db/stableEqual.test.ts (6). docs/guides/snapshots-and-time-travel.md
+ RELEASES updated. 1477 unit + db-temporal 8 + db-mvcc 25 green.
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|---|---|---|
| .. | ||
| api | ||
| architecture | ||
| concepts | ||
| guides | ||
| operations | ||
| vfs | ||
| ADR-001-generational-mvcc.md | ||
| BATCHING.md | ||
| DATA_MODEL.md | ||
| DEVELOPER_LEARNING_PATH.md | ||
| eli5.md | ||
| FIND_SYSTEM.md | ||
| MIGRATION-V3-TO-V4.md | ||
| neural-extraction.md | ||
| PERFORMANCE.md | ||
| PLUGINS.md | ||
| PRODUCTION_SERVICE_ARCHITECTURE.md | ||
| QUERY_OPERATORS.md | ||
| README.md | ||
| RELEASE-GUIDE.md | ||
| SCALING.md | ||
| STAGE3-CANONICAL-TAXONOMY.md | ||
| transactions.md | ||
| troubleshooting.md | ||
| universal-display-augmentation.md | ||
Brainy Documentation
The multi-dimensional AI database with Triple Intelligence — vector search, graph traversal, and metadata filtering in one unified API.
Quick Start
import { Brainy, NounType, VerbType } from '@soulcraft/brainy'
const brain = new Brainy()
await brain.init()
// Add entities — data is embedded for semantic search, metadata is indexed for filtering
const id = await brain.add({
data: 'Revolutionary AI Breakthrough',
type: NounType.Document,
metadata: { category: 'technology', rating: 4.8 }
})
// Search with Triple Intelligence
const results = await brain.find({
query: 'artificial intelligence', // Semantic search (on data)
where: { rating: { greaterThan: 4.0 } }, // Metadata filter
connected: { from: authorId, depth: 2 } // Graph traversal
})
Core Documentation
| Document | Description |
|---|---|
| API Reference | Complete API documentation — start here |
| Data Model | Entity structure, data vs metadata, storage fields |
| Query Operators | All BFO operators with examples and indexed/in-memory matrix |
| Find System | Natural language find() and hybrid search details |
| Consistency Model | The Db API guarantees — snapshot isolation, atomic transactions, time travel |
Architecture
| Document | Description |
|---|---|
| Architecture Overview | High-level system design |
| Triple Intelligence | Vector + Graph + Metadata unified query |
| Noun-Verb Taxonomy | 42 nouns + 127 verbs type system |
| Stage 3 Canonical Taxonomy | Complete type reference |
| Storage Architecture | Storage adapters and optimization |
| Index Architecture | Vector, Graph, and Metadata indexing |
| Zero Configuration | Auto-adapts to any environment |
Virtual Filesystem (VFS)
| Document | Description |
|---|---|
| VFS Quick Start | Get started in 30 seconds |
| VFS Core | Core concepts and architecture |
| VFS API Guide | Complete VFS API reference |
| Common Patterns | VFS usage patterns |
See vfs/ for the complete VFS documentation set.
Guides
| Document | Description |
|---|---|
| Import Anything | CSV, Excel, PDF, URL imports |
| Snapshots & Time Travel | Backups, restore, what-if analysis, audit trails |
| Natural Language | Query in plain English |
| Neural API | AI-powered features |
| Enterprise for Everyone | No limits, no tiers |
| Framework Integration | React, Vue, Angular, Svelte |
Storage & Deployment
| Document | Description |
|---|---|
| Storage Architecture | Filesystem and memory adapters, on-disk artifact layout, operator-layer backup |
| Capacity Planning | Scale to millions of entities |
Plugins
| Document | Description |
|---|---|
| Plugins | Plugin system overview — providers, plugins config, brain.use() |
Performance & Scaling
| Document | Description |
|---|---|
| Performance | Optimization techniques |
| Scaling | Scale to billions of entities |
| Batching | Batch operations guide |
Migration & Reference
| Document | Description |
|---|---|
| v3 to v4 Migration | Upgrade guide |
| Release Guide | How to release new versions |
| Production Architecture | Ops reference |
Internal
| Document | Description |
|---|---|
| Audit Report | Feature audit |
| Honest Status | Actual implementation status |
License
Brainy is MIT licensed. See LICENSE for details.