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chore: rename to @soulcraftlabs/brainy for Open Brainy on The Source

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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.
This commit is contained in:
David Snelling 2026-08-27 17:07:09 -07:00
parent 1f34fc6ce4
commit a99b1e83c4
74 changed files with 230 additions and 284 deletions
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16
docs/neural-extraction.md
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@ -24,7 +24,7 @@ Brainy's neural extraction system uses a **4-signal ensemble architecture** to c
### Method 1: Brain Instance (Recommended)
```typescript
import { Brainy, NounType } from '@soulcraft/brainy'
import { Brainy, NounType } from '@soulcraftlabs/brainy'
const brain = new Brainy()
await brain.init()
@ -62,9 +62,9 @@ const people = await brain.extractEntities('...', {
import {
SmartExtractor,
SmartRelationshipExtractor
} from '@soulcraft/brainy'
} from '@soulcraftlabs/brainy'
// Or use subpath imports:
import { SmartExtractor } from '@soulcraft/brainy/neural/SmartExtractor'
import { SmartExtractor } from '@soulcraftlabs/brainy/neural/SmartExtractor'
const brain = new Brainy()
await brain.init()
@ -176,7 +176,7 @@ const withVectors = await brain.extractEntities(text, {
**Direct entity type classifier.** Use when you have pre-detected candidates or need custom configuration.
```typescript
import { SmartExtractor, FormatContext } from '@soulcraft/brainy'
import { SmartExtractor, FormatContext } from '@soulcraftlabs/brainy'
const extractor = new SmartExtractor(brain, {
minConfidence: 0.7, // Threshold
@ -229,7 +229,7 @@ interface ExtractionResult {
**Relationship type classifier.** Determines verb/relationship types between entities.
```typescript
import { SmartRelationshipExtractor } from '@soulcraft/brainy'
import { SmartRelationshipExtractor } from '@soulcraftlabs/brainy'
const relExtractor = new SmartRelationshipExtractor(brain, {
minConfidence: 0.6,
@ -286,7 +286,7 @@ const rel = await relExtractor.infer(
**Full extraction orchestrator.** Handles candidate detection, classification, and deduplication.
```typescript
import { NeuralEntityExtractor } from '@soulcraft/brainy'
import { NeuralEntityExtractor } from '@soulcraftlabs/brainy'
const extractor = new NeuralEntityExtractor(brain)
@ -607,7 +607,7 @@ const locations = entities.filter(e => e.type === NounType.Location)
### Example 2: Excel Data Classification
```typescript
import { SmartExtractor } from '@soulcraft/brainy'
import { SmartExtractor } from '@soulcraftlabs/brainy'
const extractor = new SmartExtractor(brain)
@ -629,7 +629,7 @@ for (let i = 0; i < cells.length; i++) {
### Example 3: Relationship Extraction
```typescript
import { SmartRelationshipExtractor } from '@soulcraft/brainy'
import { SmartRelationshipExtractor } from '@soulcraftlabs/brainy'
const relExtractor = new SmartRelationshipExtractor(brain)