brainy/docs
David Snelling b7c6752388 feat: add stddev/variance aggregation ops with Welford's online algorithm
- New aggregation ops: stddev and variance (incremental, O(1) per update)
- Welford's online algorithm for numerically stable running variance
- MetricState extended with m2 field for variance tracking
- AggregationProvider interface: defineAggregate, removeAggregate, restoreState, serializeState
- Export AggregateGroupState and MetricState types
- Plugin docs: aggregation provider, analytics providers (HyperLogLog, t-digest, etc.)
- Aggregation architecture and usage guide docs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 17:04:11 -08:00
..
api feat: add stddev/variance aggregation ops with Welford's online algorithm 2026-02-17 17:04:11 -08:00
architecture feat: add stddev/variance aggregation ops with Welford's online algorithm 2026-02-17 17:04:11 -08:00
augmentations fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
deployment fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
features fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
guides feat: add stddev/variance aggregation ops with Welford's online algorithm 2026-02-17 17:04:11 -08:00
operations fix: eliminate cloud storage write amplification and rate limiting 2026-01-31 09:09:36 -08:00
vfs fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
BATCHING.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
CREATING-AUGMENTATIONS.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
DATA_MODEL.md feat: enforce data/metadata separation, numeric range queries, improved docs 2026-02-09 12:07:54 -08:00
DEVELOPER_LEARNING_PATH.md feat: enforce data/metadata separation, numeric range queries, improved docs 2026-02-09 12:07:54 -08:00
EXTENDING_STORAGE.md fix: update all imports and references from BrainyData to Brainy 2025-09-30 17:09:15 -07:00
FIND_SYSTEM.md feat: add aggregation engine with incremental SUM/COUNT/AVG/MIN/MAX, GROUP BY, and time windows 2026-02-16 16:57:53 -08:00
MIGRATION-V3-TO-V4.md chore(release): 4.0.0 2025-10-17 14:48:34 -07:00
neural-extraction.md feat: expose neural entity extraction APIs (v5.7.6 - Workshop request) 2025-11-13 09:01:56 -08:00
PERFORMANCE.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
PLUGINS.md feat: add stddev/variance aggregation ops with Welford's online algorithm 2026-02-17 17:04:11 -08:00
PRODUCTION_SERVICE_ARCHITECTURE.md feat: migrate embeddings to Candle WASM + remove semantic type inference 2026-01-06 12:52:34 -08:00
QUERY_OPERATORS.md feat: enforce data/metadata separation, numeric range queries, improved docs 2026-02-09 12:07:54 -08:00
README.md feat: enforce data/metadata separation, numeric range queries, improved docs 2026-02-09 12:07:54 -08:00
RELEASE-GUIDE.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
SCALING.md docs: add comprehensive scaling and storage architecture documentation 2025-09-08 14:49:25 -07:00
STAGE3-CANONICAL-TAXONOMY.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
transactions.md fix: exclude __words__ keyword index from corruption detection and getStats() 2026-01-27 15:38:21 -08:00
troubleshooting.md feat: migrate embeddings to Candle WASM + remove semantic type inference 2026-01-06 12:52:34 -08:00
universal-display-augmentation.md fix: update all imports and references from BrainyData to Brainy 2025-09-30 17:09:15 -07:00

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

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 HNSW, 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
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
Cloud Deployment Deploy on AWS, GCP, Azure, Cloudflare
Extending Storage Create custom storage adapters
AWS S3 Cost Optimization 96% cost savings
GCS Cost Optimization 94% savings with Autoclass
Azure Cost Optimization 95% savings
R2 Cost Optimization Zero egress fees
Capacity Planning Scale to millions of entities

Plugins & Augmentations

Document Description
Plugins Plugin system overview
Creating Augmentations Build custom plugins
Augmentations Reference Full augmentation API
Augmentations Developer Guide Plugin development guide

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.