David Snelling
89e4d810ed
Two type-definition comments (src/coreTypes.ts:472 +
src/types/brainy.types.ts:1123) stated:
bits?: 8 | 4 // default: 8 (SQ8). SQ4 requires cortex native.
This was factually wrong. src/utils/vectorQuantization.ts:412 ships
distanceSQ4Js, a pure-JS SQ4 implementation that's been part of the
open-core path the whole time. The native SIMD acceleration is a drop-in
via setSQ4DistanceImplementation, NOT a hard requirement.
The misleading comment risked pushing open-core users to assume they
needed a paid native provider for SQ4 quantization when they did not.
Corrected to:
bits?: 8 | 4 // default: 8 (SQ8). SQ4 has a pure-JS implementation;
// cortex's distance:sq4 SIMD provider accelerates it.
Pure documentation; no behaviour change. Caught during an upstream
open-core-boundary audit (handoff thread BRAINY-8.0-RENAME-COORDINATION,
section E.1).
Verification
- npx tsc --noEmit: clean
- npm test: 1468 / 1468 unit
- npm run build: clean
1371 lines
No EOL
48 KiB
TypeScript
1371 lines
No EOL
48 KiB
TypeScript
/**
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* 🧠 Brainy 3.0 Type Definitions
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*
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* Beautiful, consistent, type-safe interfaces for the future of neural databases
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*/
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import { Vector } from '../coreTypes.js'
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import { NounType, VerbType } from './graphTypes.js'
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// ============= Core Types =============
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/**
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* Entity (Noun) — the fundamental data unit in Brainy
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*
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* **Data vs Metadata:**
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* - `data`: Content used for vector embeddings. Searchable via **semantic similarity**
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* (HNSW index) and hybrid text+semantic search. NOT queryable via `where` filters.
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* - `metadata`: Structured fields indexed by MetadataIndex. Queryable via `where`
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* filters in `find()`. Standard system fields (noun, createdAt, etc.) are stored
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* alongside user metadata but extracted to top-level Entity fields on read.
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*/
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export interface Entity<T = any> {
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/** Unique identifier (UUID v4) */
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id: string
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/** Embedding vector (384-dim by default). Empty array when loaded without includeVectors. */
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vector: Vector
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/** Entity type classification (NounType enum) */
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type: NounType
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/**
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* Per-product sub-classification within the NounType (e.g. a `Person` entity might
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* have `subtype: 'employee'` or `'customer'`; a `Document` might have `subtype: 'invoice'`).
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* Flat string, no hierarchy. Top-level standard field — indexed on the fast path and
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* rolled into per-NounType statistics.
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*/
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subtype?: string
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/** Opaque content — used for embeddings and semantic search. Not indexed by MetadataIndex. */
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data?: any
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/** User-defined structured fields — indexed and queryable via `where` filters. */
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metadata?: T
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/** Multi-tenancy service identifier */
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service?: string
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/** Creation timestamp (ms since epoch) */
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createdAt: number
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/** Last update timestamp (ms since epoch) */
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updatedAt?: number
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/** Source that created this entity (e.g., augmentation info) */
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createdBy?: string
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/** Type classification confidence (0-1) */
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confidence?: number
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/** Entity importance/salience (0-1) */
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weight?: number
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/**
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* Monotonic revision counter, auto-bumped on every successful `update()`.
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* Starts at `1` on `add()`. Pre-7.31.0 entities without `_rev` are read as `1`.
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* Pass back as `update({ id, ..., ifRev: _rev })` for optimistic-concurrency CAS —
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* throws `RevisionConflictError` if the persisted rev moved since read.
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*/
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_rev?: number
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}
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/**
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* Relation (Verb) — a typed edge connecting two entities
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*
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* **Data vs Metadata (on relationships):**
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* - `data`: Opaque content stored on the relationship. If provided during relate(),
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* overrides the auto-computed vector (default: average of source+target vectors).
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* - `metadata`: Structured queryable fields on the edge (e.g., role, startDate).
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*/
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export interface Relation<T = any> {
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/** Unique identifier (UUID v4) */
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id: string
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/** Source entity ID */
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from: string
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/** Target entity ID */
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to: string
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/** Relationship type classification (VerbType enum) */
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type: VerbType
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/**
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* Per-product sub-classification within the VerbType (e.g. a `Manages`
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* relationship might have `subtype: 'direct'` vs `'dotted-line'`; a `RelatedTo`
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* edge might carry `'spouse'` / `'sibling'` / `'colleague'`). Flat string, no
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* hierarchy. Top-level standard field — indexed on the fast path and rolled into
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* per-VerbType statistics so queries like `getRelations({ verb, subtype })` hit
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* the column-store directly.
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*/
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subtype?: string
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/** Connection strength (0-1, default: 1.0) */
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weight?: number
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/** Opaque content for the relationship (overrides auto-computed vector if provided) */
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data?: any
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/** User-defined structured fields on the edge */
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metadata?: T
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/** Multi-tenancy service identifier */
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service?: string
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/** Creation timestamp (ms since epoch) */
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createdAt: number
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/** Last update timestamp (ms since epoch) */
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updatedAt?: number
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/** Relationship certainty (0-1) */
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confidence?: number
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/** Evidence for why this relationship was detected */
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evidence?: RelationEvidence
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}
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/**
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* Evidence for why a relationship was detected
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*/
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export interface RelationEvidence {
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sourceText?: string // Text that indicated this relationship
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position?: { // Position in source text
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start: number
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end: number
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}
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method: 'neural' | 'pattern' | 'structural' | 'explicit' // How it was detected
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reasoning?: string // Human-readable explanation
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}
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/**
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* Search result with similarity score
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*
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* Flattens commonly-used entity fields to top level for convenience,
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* while preserving full entity in 'entity' field for backward compatibility.
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*/
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export interface Result<T = any> {
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// Search metadata
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id: string
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score: number
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// Convenience: Common entity fields flattened to top level
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type?: NounType // Entity type (from entity.type)
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subtype?: string // Per-product sub-classification (from entity.subtype)
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metadata?: T // Entity metadata (from entity.metadata)
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data?: any // Entity data (from entity.data)
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confidence?: number // Type classification confidence (from entity.confidence)
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weight?: number // Entity importance (from entity.weight)
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_rev?: number // Monotonic revision counter (from entity._rev) — pass back as update({ ifRev }) for CAS
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// Full entity (preserved for backward compatibility)
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entity: Entity<T>
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// Score transparency
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explanation?: ScoreExplanation
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// Match visibility - shows what matched in hybrid search
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textMatches?: string[] // Query words found in entity (e.g., ["david", "warrior"])
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textScore?: number // Normalized text match score (0-1)
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semanticScore?: number // Semantic similarity score (0-1)
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matchSource?: 'text' | 'semantic' | 'both' // Where this result came from
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rrfScore?: number // Raw RRF fusion score (for advanced ranking analysis)
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// Aggregation: present only on rows returned by find({ aggregate }). These mirror the
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// documented AggregateResult shape so callers can read group/metric data at the top level
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// instead of digging into `metadata`. (The same values are also flattened into `metadata`
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// for backward compatibility.)
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groupKey?: Record<string, string | number> // Group-by key values for this aggregate row
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metrics?: Record<string, number> // Computed metric values (sum/avg/min/max/count)
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count?: number // Total entity count in this group
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}
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/**
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* Score explanation for transparency
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*/
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export interface ScoreExplanation {
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vectorScore?: number
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metadataScore?: number
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graphScore?: number
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boosts?: Record<string, number>
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penalties?: Record<string, number>
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}
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// ============= Operation Parameters =============
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/**
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* Parameters for adding entities
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*
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* **Data vs Metadata:**
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* - `data` is embedded into a vector and searchable via semantic similarity (HNSW).
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* It is NOT indexed by MetadataIndex and NOT queryable via `where` filters.
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* - `metadata` is indexed by MetadataIndex and queryable via `where` filters in `find()`.
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*/
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export interface AddParams<T = any> {
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/** Content to embed and store. Strings are auto-embedded; objects are JSON-stringified for embedding. */
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data: any | Vector
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/** Entity type classification (required) */
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type: NounType
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/**
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* Per-product sub-classification within the NounType (e.g. a `Person` entity might have
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* `subtype: 'employee'` or `'customer'`; a `Document` might have `subtype: 'invoice'`).
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* Flat string, no hierarchy — consumers choose the vocabulary. Indexed and rolled up into
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* per-NounType statistics for fast `find({ type, subtype })` filtering and `groupBy:['subtype']`
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* aggregation on the standard-field fast path.
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*/
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subtype?: string
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/** Structured queryable fields — indexed by MetadataIndex, used in `where` filters */
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metadata?: T
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/** Custom entity ID (auto-generated UUID v4 if not provided) */
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id?: string
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/** Pre-computed embedding vector (skips auto-embedding when provided) */
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vector?: Vector
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/** Multi-tenancy service identifier */
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service?: string
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/** Type classification confidence (0-1) */
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confidence?: number
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/** Entity importance/salience (0-1) */
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weight?: number
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/** Track which augmentation created this entity */
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createdBy?: { augmentation: string; version: string }
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/**
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* Conditional insert. When `true` AND a custom `id` is supplied AND an entity with
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* that `id` already exists, `add()` returns the existing `id` without writing — no
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* throw, no overwrite. Used for idempotent bootstrap and create-or-noop patterns.
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* Ignored when `id` is omitted (a freshly generated UUID can never collide).
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*/
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ifAbsent?: boolean
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}
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/**
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* Parameters for updating entities
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*/
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export interface UpdateParams<T = any> {
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id: string // Entity to update
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data?: any // New content to re-embed
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type?: NounType // Change type
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subtype?: string // Change subtype (set to '' or null-equivalent via dedicated unset is future work)
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metadata?: Partial<T> // Metadata to update
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merge?: boolean // Merge or replace metadata (default: true)
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vector?: Vector // New pre-computed vector
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confidence?: number // Update type classification confidence
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weight?: number // Update entity importance/salience
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/**
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* Optimistic concurrency check. When provided, the update fails with
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* `RevisionConflictError` if the persisted entity's `_rev` does not equal `ifRev`.
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* `_rev` is auto-bumped on every successful update — read it from the entity returned
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* by `get()` / `find()` / `search()`. Omit to skip the check (unconditional update).
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*/
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ifRev?: number
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}
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/**
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* Parameters for creating relationships
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*
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* **Data vs Metadata (on relationships):**
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* - `data`: Opaque content for the edge. If provided, overrides the auto-computed
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* vector (default: average of source+target entity vectors).
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* - `metadata`: Structured queryable fields on the edge.
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*/
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export interface RelateParams<T = any> {
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/** Source entity ID (required — must exist) */
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from: string
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/** Target entity ID (required — must exist) */
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to: string
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/** Relationship type classification (required) */
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type: VerbType
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/**
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* Per-product sub-classification within the VerbType (e.g. a `Manages`
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* relationship might have `subtype: 'direct'` or `'dotted-line'`; a `RelatedTo`
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* edge might carry `'spouse'` or `'colleague'`). Flat string, no hierarchy.
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* Indexed and rolled up into per-VerbType statistics for fast filtering
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* (`getRelations({ verb, subtype })`) and aggregation (`groupBy:['subtype']`).
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*/
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subtype?: string
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/** Connection strength (0-1, default: 1.0) */
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weight?: number
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/** Content for the relationship (optional — overrides auto-computed vector) */
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data?: any
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/** Structured queryable fields on the edge */
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metadata?: T
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/** Create reverse edge too (default: false) */
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bidirectional?: boolean
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/** Multi-tenancy service identifier */
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service?: string
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/** Relationship certainty (0-1) */
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confidence?: number
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/** Evidence for why this relationship exists */
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evidence?: RelationEvidence
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}
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/**
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* Parameters for updating relationships
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*/
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export interface UpdateRelationParams<T = any> {
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id: string // Relation to update
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type?: VerbType // Change verb type
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subtype?: string // Change sub-classification (omit to preserve existing)
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weight?: number // New weight
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confidence?: number // New confidence (0-1)
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data?: any // New content
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metadata?: Partial<T> // Metadata to update
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merge?: boolean // Merge or replace metadata
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}
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// ============= Query Parameters =============
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/**
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* Unified find parameters — Triple Intelligence search
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*
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* Combines three search dimensions in one query:
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* - **Vector:** `query` or `vector` for semantic/hybrid similarity search (searches `data`)
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* - **Metadata:** `where` for structured field filters (queries `metadata` via MetadataIndex)
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* - **Graph:** `connected` for relationship traversal (via GraphAdjacencyIndex)
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*
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* See also: [Query Operators](../../docs/QUERY_OPERATORS.md) for all `where` operators.
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*/
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export interface FindParams<T = any> {
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// Vector Intelligence
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/** Natural language or semantic search query (embedded and matched via HNSW + text index) */
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query?: string
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/** Direct vector search (pre-computed embedding) */
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vector?: Vector
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// Metadata Intelligence
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/** Filter by entity type(s). Alias for `where.noun`. */
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type?: NounType | NounType[]
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/**
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* Filter by per-product subtype (top-level standard field — uses the fast path, not the
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* metadata fallback). Pass a single string for equality, or an array for set membership
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* (e.g. `subtype: ['employee', 'contractor']`). For operator-form predicates (e.g.
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* `{ exists: true }`, `{ missing: true }`) use `where: { subtype: { …operators… } }`.
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*/
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subtype?: string | string[]
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/** Metadata filters using BFO operators (e.g., `{ year: { greaterThan: 2020 } }`) */
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where?: Partial<T>
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// Graph Intelligence
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connected?: GraphConstraints
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// Proximity search
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near?: {
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id: string // Find near this entity
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threshold?: number // Min similarity (0-1)
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}
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// Control options
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limit?: number // Max results (default: 10)
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offset?: number // Skip N results
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cursor?: string // Cursor-based pagination
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// Sorting
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orderBy?: string // Field to sort by (e.g., 'createdAt', 'title', 'metadata.priority')
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order?: 'asc' | 'desc' // Sort direction: 'asc' (default) or 'desc'
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// Advanced options
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mode?: SearchMode // Search strategy
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explain?: boolean // Return scoring explanation
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includeRelations?: boolean // Include entity relationships
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excludeVFS?: boolean // Exclude VFS entities from results (default: false - VFS included)
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service?: string // Multi-tenancy filter
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// Hybrid search options
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searchMode?: 'auto' | 'text' | 'semantic' | 'vector' | 'hybrid' // Search strategy: auto (default), text-only, semantic/vector-only, or explicit hybrid
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hybridAlpha?: number // Weight between text (0.0) and semantic (1.0) search, default: auto-detected by query length
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// Triple Intelligence Fusion
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fusion?: {
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strategy?: 'adaptive' | 'weighted' | 'progressive'
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weights?: {
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vector?: number
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graph?: number
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field?: number
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}
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}
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// Performance options
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writeOnly?: boolean // Skip validation for high-speed ingestion
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// Aggregation
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/** Query a named aggregate definition. String shorthand or full query params. */
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aggregate?: string | AggregateQueryParams
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}
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/**
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* Graph constraints for search
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*/
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export interface GraphConstraints {
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to?: string // Connected to this entity
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from?: string // Connected from this entity
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via?: VerbType | VerbType[] // Via these relationship types
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type?: VerbType | VerbType[] // Alias for via
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/**
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* Filter traversal edges by VerbType subtype. Single string for equality,
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* array for set membership. Composes with `via` — `{ via: 'manages', subtype:
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* 'direct' }` traverses only direct-management edges, not dotted-line. Edges
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* without a subtype value are excluded when this filter is set.
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*/
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subtype?: string | string[]
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depth?: number // Max traversal depth (default: 1)
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direction?: 'in' | 'out' | 'both' // Direction of traversal (default: 'both')
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bidirectional?: boolean // Consider both directions
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}
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/**
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* Search modes
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*/
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export type SearchMode =
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| 'auto' // Automatically choose best mode (default - enables hybrid text+semantic)
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| 'vector' // Pure vector search (semantic only)
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| 'semantic' // Alias for vector search
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| 'text' // Pure text/keyword search
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| 'metadata' // Pure metadata filtering
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| 'graph' // Pure graph traversal
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| 'hybrid' // Combine all intelligences (explicit hybrid mode)
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/**
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* Parameters for similarity search
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*/
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export interface SimilarParams<T = any> {
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to: string | Entity<T> | Vector // Find similar to this
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limit?: number // Max results (default: 10)
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threshold?: number // Min similarity score
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type?: NounType | NounType[] // Restrict to types
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where?: Partial<T> // Additional filters
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service?: string // Multi-tenancy
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excludeVFS?: boolean // Exclude VFS entities (default: false - VFS included)
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}
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/**
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* Parameters for getting relationships
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*
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* All parameters are optional. When called without parameters, returns all relationships
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* with pagination (default limit: 100).
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*
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* @example
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* ```typescript
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* // Get all relationships (default limit: 100)
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* const all = await brain.getRelations()
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*
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* // Get relationships from a specific entity (string shorthand)
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* const fromEntity = await brain.getRelations(entityId)
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*
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* // Equivalent to:
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* const fromEntity2 = await brain.getRelations({ from: entityId })
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*
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* // Get relationships to a specific entity
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* const toEntity = await brain.getRelations({ to: entityId })
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*
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* // Filter by relationship type
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* const friends = await brain.getRelations({ type: VerbType.FriendOf })
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*
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* // Pagination
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* const page2 = await brain.getRelations({ offset: 100, limit: 50 })
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*
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* // Combined filters
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* const filtered = await brain.getRelations({
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* from: entityId,
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* type: VerbType.WorksWith,
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* limit: 20
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* })
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* ```
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*
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* Fixed bug where calling without parameters returned empty array
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* Added string ID shorthand syntax
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*/
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export interface GetRelationsParams {
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/**
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* Filter by source entity ID
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*
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* Returns all relationships originating from this entity.
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*/
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from?: string
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/**
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* Filter by target entity ID
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*
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* Returns all relationships pointing to this entity.
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*/
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to?: string
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/**
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* Filter by relationship type(s)
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*
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* Can be a single VerbType or array of VerbTypes.
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*/
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type?: VerbType | VerbType[]
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/**
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* Filter by VerbType subtype
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*
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* Top-level standard field — uses the fast path, not the metadata fallback.
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* Pass a single string for equality (e.g. `subtype: 'direct'`), or an array
|
||
* for set membership (e.g. `subtype: ['direct', 'dotted-line']`).
|
||
*/
|
||
subtype?: string | string[]
|
||
|
||
/**
|
||
* Maximum number of results to return
|
||
*
|
||
* @default 100
|
||
*/
|
||
limit?: number
|
||
|
||
/**
|
||
* Number of results to skip (offset-based pagination)
|
||
*
|
||
* @default 0
|
||
*/
|
||
offset?: number
|
||
|
||
/**
|
||
* Cursor for cursor-based pagination
|
||
*
|
||
* More efficient than offset for large result sets.
|
||
*/
|
||
cursor?: string
|
||
|
||
/**
|
||
* Filter by service (multi-tenancy)
|
||
*
|
||
* Only return relationships belonging to this service.
|
||
*/
|
||
service?: string
|
||
}
|
||
|
||
// ============= Batch Operations =============
|
||
|
||
/**
|
||
* Batch add parameters
|
||
*/
|
||
export interface AddManyParams<T = any> {
|
||
items: AddParams<T>[] // Items to add
|
||
parallel?: boolean // Process in parallel (default: true)
|
||
chunkSize?: number // Batch size (default: 100)
|
||
onProgress?: (done: number, total: number) => void
|
||
continueOnError?: boolean // Continue if some fail
|
||
/**
|
||
* Conditional insert applied to every item. Equivalent to setting `ifAbsent: true`
|
||
* on each item individually. Item-level `ifAbsent` overrides the batch flag.
|
||
*/
|
||
ifAbsent?: boolean
|
||
}
|
||
|
||
/**
|
||
* Batch update parameters
|
||
*/
|
||
export interface UpdateManyParams<T = any> {
|
||
items: UpdateParams<T>[] // Items to update
|
||
parallel?: boolean
|
||
chunkSize?: number
|
||
onProgress?: (done: number, total: number) => void
|
||
continueOnError?: boolean
|
||
}
|
||
|
||
/**
|
||
* Batch delete parameters
|
||
*/
|
||
export interface DeleteManyParams {
|
||
ids?: string[] // Specific IDs to delete
|
||
type?: NounType // Delete all of type
|
||
where?: any // Delete by metadata
|
||
limit?: number // Max to delete (safety)
|
||
onProgress?: (done: number, total: number) => void
|
||
continueOnError?: boolean // Continue processing if a delete fails
|
||
}
|
||
|
||
/**
|
||
* Batch relate parameters
|
||
*/
|
||
export interface RelateManyParams<T = any> {
|
||
items: RelateParams<T>[] // Relations to create
|
||
parallel?: boolean
|
||
chunkSize?: number
|
||
onProgress?: (done: number, total: number) => void
|
||
continueOnError?: boolean
|
||
}
|
||
|
||
/**
|
||
* Batch result
|
||
*/
|
||
export interface BatchResult<T = any> {
|
||
successful: T[] // Successfully processed items
|
||
failed: Array<{ // Failed items with errors
|
||
item: any
|
||
error: string
|
||
}>
|
||
total: number // Total attempted
|
||
duration: number // Time taken in ms
|
||
}
|
||
|
||
// ============= Import Progress =============
|
||
|
||
/**
|
||
* Import stage enumeration
|
||
*/
|
||
export type ImportStage =
|
||
| 'detecting' // Detecting file format
|
||
| 'reading' // Reading file from disk/network
|
||
| 'parsing' // Parsing file structure (CSV rows, PDF pages, Excel sheets)
|
||
| 'extracting' // Extracting entities using AI
|
||
| 'indexing' // Creating graph nodes and relationships
|
||
| 'completing' // Final cleanup and stats
|
||
|
||
/**
|
||
* Overall import status
|
||
*/
|
||
export type ImportStatus =
|
||
| 'starting' // Initializing import
|
||
| 'processing' // Actively importing
|
||
| 'completing' // Finalizing
|
||
| 'done' // Complete
|
||
|
||
/**
|
||
* Comprehensive import progress information
|
||
*
|
||
* Provides multi-dimensional progress tracking:
|
||
* - Bytes processed (always deterministic)
|
||
* - Entities extracted and indexed
|
||
* - Stage-specific progress
|
||
* - Time estimates
|
||
* - Performance metrics
|
||
*
|
||
*/
|
||
export interface ImportProgress {
|
||
// Overall Progress
|
||
overall_progress: number // 0-100 weighted estimate across all stages
|
||
overall_status: ImportStatus // High-level status
|
||
|
||
// Current Stage
|
||
stage: ImportStage // What's happening now
|
||
stage_progress: number // 0-100 within current stage (0 if unknown)
|
||
stage_message: string // Human-readable: "Extracting entities from PDF..."
|
||
|
||
// Bytes (Always Available - most deterministic metric)
|
||
bytes_processed: number // Bytes read/processed so far
|
||
total_bytes: number // Total file size (0 if streaming/unknown)
|
||
bytes_percentage: number // Convenience: bytes_processed / total_bytes * 100
|
||
bytes_per_second?: number // Processing rate (relevant during parsing)
|
||
|
||
// Entities (Available when extraction starts)
|
||
entities_extracted: number // Entities found during AI extraction
|
||
entities_indexed: number // Entities added to Brainy graph
|
||
entities_per_second?: number // Entities/sec (relevant during extraction/indexing)
|
||
estimated_total_entities?: number // Estimated final count
|
||
estimation_confidence?: number // 0-1 confidence in estimation
|
||
|
||
// Timing
|
||
elapsed_ms: number // Time since import started
|
||
estimated_remaining_ms?: number // Estimated time remaining
|
||
estimated_total_ms?: number // Estimated total time
|
||
|
||
// Context (helps users understand what's happening)
|
||
current_item?: string // "Processing page 5 of 23"
|
||
current_file?: string // "Sheet: Q2 Sales Data"
|
||
file_number?: number // 3 (when importing multiple files)
|
||
total_files?: number // 10
|
||
|
||
// Performance Metrics (for debugging/optimization)
|
||
metrics?: {
|
||
parsing_rate_mbps?: number // MB/s during parsing
|
||
extraction_rate_entities_per_sec?: number // Entities/s during extraction
|
||
indexing_rate_entities_per_sec?: number // Entities/s during indexing
|
||
memory_usage_mb?: number // Current memory usage
|
||
peak_memory_mb?: number // Peak memory usage
|
||
}
|
||
|
||
// Backwards Compatibility (for legacy code)
|
||
current: number // Alias for entities_indexed
|
||
total: number // Alias for estimated_total_entities or 0
|
||
}
|
||
|
||
/**
|
||
* Import progress callback - backwards compatible
|
||
*
|
||
* Supports both legacy (current, total) and new (ImportProgress object) signatures
|
||
*/
|
||
export type ImportProgressCallback =
|
||
| ((progress: ImportProgress) => void)
|
||
| ((current: number, total: number) => void)
|
||
|
||
/**
|
||
* Stage weight configuration for overall progress calculation
|
||
*
|
||
* These weights reflect the typical time distribution across stages.
|
||
* Extraction is typically the slowest stage (60% of time).
|
||
*/
|
||
export interface StageWeights {
|
||
detecting: number // Default: 0.01 (1%)
|
||
reading: number // Default: 0.05 (5%)
|
||
parsing: number // Default: 0.10 (10%)
|
||
extracting: number // Default: 0.60 (60% - slowest!)
|
||
indexing: number // Default: 0.20 (20%)
|
||
completing: number // Default: 0.04 (4%)
|
||
}
|
||
|
||
/**
|
||
* Import result statistics
|
||
*/
|
||
export interface ImportStats {
|
||
graphNodesCreated: number // Entities added to graph
|
||
graphEdgesCreated: number // Relationships created
|
||
vfsFilesCreated: number // VFS files created
|
||
duration: number // Total time in ms
|
||
bytesProcessed: number // Total bytes read
|
||
averageRate: number // Average entities/sec
|
||
peakMemoryMB?: number // Peak memory usage
|
||
}
|
||
|
||
/**
|
||
* Import operation result
|
||
*/
|
||
export interface ImportResult {
|
||
success: boolean
|
||
stats: ImportStats
|
||
errors?: Array<{
|
||
stage: ImportStage
|
||
message: string
|
||
error?: any
|
||
}>
|
||
}
|
||
|
||
// ============= Advanced Operations =============
|
||
|
||
/**
|
||
* Options for brain.get() entity retrieval
|
||
*
|
||
* **Performance Optimization**:
|
||
* By default, brain.get() loads ONLY metadata (not vectors), resulting in:
|
||
* - **76-81% faster** reads (10ms vs 43ms for metadata-only)
|
||
* - **95% less bandwidth** (300 bytes vs 6KB per entity)
|
||
* - **87% less memory** (optimal for VFS and large-scale operations)
|
||
*
|
||
* **When to use includeVectors**:
|
||
* - Computing similarity on a specific entity (not search): `brain.similar({ to: entity.vector })`
|
||
* - Manual vector operations: `cosineSimilarity(entity.vector, otherVector)`
|
||
* - Inspecting embeddings for debugging
|
||
*
|
||
* **When NOT to use includeVectors** (metadata-only is sufficient):
|
||
* - VFS operations (readFile, stat, readdir) - 100% of cases
|
||
* - Existence checks: `if (await brain.get(id))`
|
||
* - Metadata inspection: `entity.metadata`, `entity.data`, `entity.type`
|
||
* - Relationship traversal: `brain.getRelations({ from: id })`
|
||
* - Search operations: `brain.find()` generates embeddings automatically
|
||
*
|
||
* @example
|
||
* ```typescript
|
||
* // ✅ FAST (default): Metadata-only - 10ms, 300 bytes
|
||
* const entity = await brain.get(id)
|
||
* console.log(entity.data, entity.metadata) // ✅ Available
|
||
* console.log(entity.vector) // Empty Float32Array (stub)
|
||
*
|
||
* // ✅ FULL: Load vectors when needed - 43ms, 6KB
|
||
* const fullEntity = await brain.get(id, { includeVectors: true })
|
||
* const similarity = cosineSimilarity(fullEntity.vector, otherVector)
|
||
*
|
||
* // ✅ VFS automatically uses fast path (no change needed)
|
||
* await vfs.readFile('/file.txt') // 53ms → 10ms (81% faster)
|
||
* ```
|
||
*
|
||
*/
|
||
export interface GetOptions {
|
||
/**
|
||
* Include 384-dimensional vector embeddings in the response
|
||
*
|
||
* **Default: false** (metadata-only for 76-81% speedup)
|
||
*
|
||
* Set to `true` when you need to:
|
||
* - Compute similarity on this specific entity's vector
|
||
* - Perform manual vector operations
|
||
* - Inspect embeddings for debugging
|
||
*
|
||
* **Note**: Search operations (`brain.find()`) generate vectors automatically,
|
||
* so you don't need this flag for search. Only for direct vector operations
|
||
* on a retrieved entity.
|
||
*
|
||
* @default false
|
||
*/
|
||
includeVectors?: boolean
|
||
}
|
||
|
||
/**
|
||
* Graph traversal parameters
|
||
*/
|
||
export interface TraverseParams {
|
||
from: string | string[] // Starting node(s)
|
||
direction?: 'out' | 'in' | 'both' // Traversal direction
|
||
types?: VerbType[] // Edge types to follow
|
||
depth?: number // Max depth (default: 2)
|
||
strategy?: 'bfs' | 'dfs' // Breadth or depth first
|
||
filter?: (entity: Entity, depth: number, path: string[]) => boolean
|
||
limit?: number // Max nodes to visit
|
||
}
|
||
|
||
// ============= Aggregation Engine Types =============
|
||
|
||
/**
|
||
* Supported aggregation operations
|
||
*/
|
||
export type AggregationOp =
|
||
| 'sum'
|
||
| 'count'
|
||
| 'avg'
|
||
| 'min'
|
||
| 'max'
|
||
| 'stddev'
|
||
| 'variance'
|
||
/** Exact percentile (requires `p` in `[0,1]` on the metric def) — value-multiset, delete-safe. */
|
||
| 'percentile'
|
||
/** Exact count of distinct values — value-multiset, delete-safe. */
|
||
| 'distinctCount'
|
||
|
||
/**
|
||
* Time window granularity for GROUP BY time dimensions
|
||
*/
|
||
export type TimeWindowGranularity =
|
||
| 'hour' | 'day' | 'week' | 'month' | 'quarter' | 'year'
|
||
| { seconds: number }
|
||
|
||
/**
|
||
* A GROUP BY dimension — one of:
|
||
* - a plain metadata field name (string),
|
||
* - a time-windowed field (`{ field, window }`), or
|
||
* - an **unnest** field (`{ field, unnest: true }`): the field holds an array, and the entity
|
||
* contributes once to a group per distinct element (e.g. `tags: string[]` → tag frequency).
|
||
* An entity whose unnest field is missing or an empty array contributes to no group.
|
||
*/
|
||
export type GroupByDimension =
|
||
| string
|
||
| { field: string; window: TimeWindowGranularity }
|
||
| { field: string; unnest: true }
|
||
|
||
/**
|
||
* Source filter for which entities feed into an aggregate
|
||
*/
|
||
export interface AggregateSource {
|
||
/** Filter by entity type(s) */
|
||
type?: NounType | NounType[]
|
||
/** Metadata filter (same syntax as find({ where })) */
|
||
where?: Record<string, unknown>
|
||
/** Multi-tenancy service filter */
|
||
service?: string
|
||
}
|
||
|
||
/**
|
||
* Full aggregate definition — registered via brain.defineAggregate()
|
||
*/
|
||
export interface AggregateDefinition {
|
||
/** Unique name for this aggregate (used in queries) */
|
||
name: string
|
||
/** Which entities contribute to this aggregate */
|
||
source: AggregateSource
|
||
/** Dimensions to group by */
|
||
groupBy: GroupByDimension[]
|
||
/** Named metrics to compute */
|
||
metrics: Record<string, AggregateMetricDef>
|
||
/** Control materialization of results as NounType.Measurement entities */
|
||
materialize?: boolean | { debounceMs?: number; trackSources?: boolean }
|
||
}
|
||
|
||
/**
|
||
* Single metric definition within an aggregate
|
||
*/
|
||
export interface AggregateMetricDef {
|
||
/** Aggregation operation */
|
||
op: AggregationOp
|
||
/** Metadata field to aggregate (required for all ops except count) */
|
||
field?: string
|
||
/** Percentile fraction in `[0, 1]` — required when `op === 'percentile'`, ignored otherwise. */
|
||
p?: number
|
||
}
|
||
|
||
/**
|
||
* Internal running state for a single metric.
|
||
* Tracks enough to compute all operations incrementally.
|
||
*/
|
||
export interface MetricState {
|
||
sum: number
|
||
count: number
|
||
min: number
|
||
max: number
|
||
/** Running M2 for Welford's online variance (sum of squared differences from mean) */
|
||
m2?: number
|
||
/**
|
||
* Value multiset (String(value) → occurrence count) for exact percentile + distinctCount.
|
||
* Maintained only for `percentile`/`distinctCount` metrics. JSON-serializable; mirrors
|
||
* Cortex's `value_counts` so JS and native agree bit-for-bit.
|
||
*/
|
||
valueCounts?: Record<string, number>
|
||
}
|
||
|
||
/**
|
||
* Internal state for one aggregate group (one combination of group key values)
|
||
*/
|
||
export interface AggregateGroupState {
|
||
/** The group key values (e.g., { category: 'food', period: '2024-01' }) */
|
||
groupKey: Record<string, string | number>
|
||
/** Running metric states keyed by metric name */
|
||
metrics: Record<string, MetricState>
|
||
/** Entity ID of the materialized Measurement entity (if materialized) */
|
||
materializedEntityId?: string
|
||
/** Timestamp of last update */
|
||
lastUpdated: number
|
||
}
|
||
|
||
/**
|
||
* Query parameters for reading aggregate results
|
||
*/
|
||
export interface AggregateQueryParams {
|
||
/** Name of the aggregate to query */
|
||
name: string
|
||
/** Filter aggregate groups by their key values */
|
||
where?: Record<string, unknown>
|
||
/**
|
||
* Filter groups by their computed METRIC values (SQL HAVING). Same BFO operators as
|
||
* `where`, but applied to the derived metric results plus `count`, e.g.
|
||
* `{ revenue: { greaterThan: 1000 } }`. Evaluated per group (O(groups), independent of
|
||
* entity count), before sort/pagination.
|
||
*/
|
||
having?: Record<string, unknown>
|
||
/** Sort by metric name or group key field */
|
||
orderBy?: string
|
||
/** Sort direction */
|
||
order?: 'asc' | 'desc'
|
||
/** Max results */
|
||
limit?: number
|
||
/** Skip N results */
|
||
offset?: number
|
||
}
|
||
|
||
/**
|
||
* A single aggregate result row
|
||
*/
|
||
export interface AggregateResult {
|
||
/** Group key values for this row */
|
||
groupKey: Record<string, string | number>
|
||
/** Computed metric values (derived from MetricState based on op) */
|
||
metrics: Record<string, number>
|
||
/** Total entity count in this group */
|
||
count: number
|
||
/** Entity ID of materialized Measurement (if materialized) */
|
||
entityId?: string
|
||
}
|
||
|
||
/**
|
||
* Provider interface for Cortex-accelerated aggregation.
|
||
* When registered as 'aggregation' provider, Brainy delegates to this.
|
||
*/
|
||
export interface AggregationProvider {
|
||
/** Register an aggregate definition (caches compiled definition for hot path) */
|
||
defineAggregate?(def: AggregateDefinition): void
|
||
|
||
/** Remove a registered aggregate definition */
|
||
removeAggregate?(name: string): void
|
||
|
||
/** Incrementally update aggregation state when an entity changes */
|
||
incrementalUpdate(
|
||
name: string,
|
||
def: AggregateDefinition,
|
||
entity: Record<string, unknown>,
|
||
op: 'add' | 'update' | 'delete',
|
||
prev?: Record<string, unknown>
|
||
): AggregateGroupState[]
|
||
|
||
/** Compute the group key for a given entity */
|
||
computeGroupKey(
|
||
entity: Record<string, unknown>,
|
||
groupBy: GroupByDimension[]
|
||
): Record<string, string | number>
|
||
|
||
/** Rebuild an entire aggregate from scratch */
|
||
rebuildAggregate(
|
||
def: AggregateDefinition,
|
||
entities: Array<Record<string, unknown>>
|
||
): Map<string, AggregateGroupState>
|
||
|
||
/** Query aggregate state with filtering/sorting/pagination */
|
||
queryAggregate(
|
||
state: Map<string, AggregateGroupState>,
|
||
params: AggregateQueryParams
|
||
): AggregateResult[]
|
||
|
||
/** Restore previously serialized state (called during init) */
|
||
restoreState?(data: string): void
|
||
|
||
/** Serialize internal state for persistence (called during flush) */
|
||
serializeState?(): string
|
||
}
|
||
|
||
// ============= Configuration =============
|
||
|
||
/**
|
||
* Integration Hub configuration
|
||
*
|
||
* Enables external tool integrations: Excel, Power BI, Google Sheets, etc.
|
||
* Works in all environments with zero external dependencies.
|
||
*
|
||
* @example
|
||
* ```typescript
|
||
* // Enable all integrations with defaults
|
||
* new Brainy({ integrations: true })
|
||
*
|
||
* // Custom configuration
|
||
* new Brainy({
|
||
* integrations: {
|
||
* basePath: '/api/v1',
|
||
* enable: ['odata', 'sheets']
|
||
* }
|
||
* })
|
||
* ```
|
||
*/
|
||
export interface IntegrationsConfig {
|
||
/** Base path for all integration endpoints (default: '') */
|
||
basePath?: string
|
||
|
||
/** Which integrations to enable (default: all) */
|
||
enable?: ('odata' | 'sheets' | 'sse' | 'webhooks')[] | 'all'
|
||
|
||
/** Per-integration config overrides */
|
||
config?: {
|
||
odata?: { basePath?: string }
|
||
sheets?: { basePath?: string }
|
||
sse?: { basePath?: string; heartbeatInterval?: number }
|
||
webhooks?: { maxRetries?: number }
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Operator-facing summary returned by `brain.stats()`. Designed to fit in a
|
||
* terminal screen so an incident responder can read it at a glance: counts,
|
||
* mode, lock owner, indexed fields, and index health flags.
|
||
*/
|
||
export interface BrainyStats {
|
||
/** Whether this instance can mutate. `reader` is set by `openReadOnly()` and `asOf()`. */
|
||
mode: 'writer' | 'reader'
|
||
/** Total entity (noun) count across all types. */
|
||
entityCount: number
|
||
/** Breakdown by NounType name (`person`, `event`, ...). Zero-count types omitted. */
|
||
entitiesByType: Record<string, number>
|
||
/** Total relationship (verb) count across all types. */
|
||
relationCount: number
|
||
/** Breakdown by VerbType name. Zero-count types omitted. */
|
||
relationsByType: Record<string, number>
|
||
/** Indexed metadata field names known to the metadata index. */
|
||
fieldRegistry: string[]
|
||
/** Per-index health flags. `true` = index has entries OR no entities exist yet. */
|
||
indexHealth: {
|
||
hnsw: boolean
|
||
metadata: boolean
|
||
graph: boolean
|
||
}
|
||
/** Storage backend info — `backend` is the adapter class name. */
|
||
storage: {
|
||
backend: string
|
||
rootDir?: string
|
||
}
|
||
/**
|
||
* Writer lock metadata if one is currently held on this directory. Present
|
||
* for both writer instances (their own lock) and readers inspecting a
|
||
* directory with a live writer.
|
||
*/
|
||
writerLock?: {
|
||
pid: number
|
||
hostname: string
|
||
startedAt: string
|
||
lastHeartbeat: string
|
||
version: string
|
||
rootDir?: string
|
||
}
|
||
/** The Brainy library version this instance was built against. */
|
||
version: string
|
||
}
|
||
|
||
/**
|
||
* Brainy configuration
|
||
*/
|
||
export interface BrainyConfig {
|
||
// Storage configuration
|
||
storage?: {
|
||
type: 'auto' | 'memory' | 'filesystem' | 's3' | 'r2' | 'opfs' | 'gcs'
|
||
/** Root directory for filesystem storage. Passed through to storage factories
|
||
* including plugin-provided factories (e.g. Cortex mmap). */
|
||
rootDirectory?: string
|
||
options?: any
|
||
branch?: string // COW branch name (default: 'main')
|
||
}
|
||
|
||
// Index configuration
|
||
index?: {
|
||
m?: number // HNSW M parameter
|
||
efConstruction?: number // HNSW construction parameter
|
||
efSearch?: number // HNSW search parameter
|
||
}
|
||
|
||
// Performance options
|
||
cache?: boolean | { // Enable caching
|
||
maxSize?: number
|
||
ttl?: number
|
||
}
|
||
|
||
// Distributed configuration
|
||
distributed?: {
|
||
enabled: boolean
|
||
nodeId?: string
|
||
nodes?: string[] // Other nodes in cluster
|
||
coordinatorUrl?: string // Coordinator endpoint
|
||
shardCount?: number // Number of shards (default: 64)
|
||
replicationFactor?: number // Number of replicas (default: 3)
|
||
consensus?: 'raft' | 'none' // Consensus mechanism
|
||
transport?: 'tcp' | 'http' | 'udp'
|
||
}
|
||
|
||
// Advanced options
|
||
warmup?: boolean // Warm up on init
|
||
realtime?: boolean // Enable real-time updates
|
||
multiTenancy?: boolean // Enable service isolation
|
||
telemetry?: boolean // Send anonymous usage stats
|
||
|
||
// Performance tuning options for production
|
||
disableAutoRebuild?: boolean // Disable automatic index rebuilding on init
|
||
disableMetrics?: boolean // Completely disable metrics collection
|
||
disableAutoOptimize?: boolean // Disable automatic index optimization
|
||
batchWrites?: boolean // Enable write batching for better performance
|
||
maxConcurrentOperations?: number // Limit concurrent file operations
|
||
|
||
// HNSW persistence mode
|
||
// Controls when HNSW graph connections are persisted to storage
|
||
// - 'immediate': Persist on every add (slow but durable, default for filesystem)
|
||
// - 'deferred': Persist only on flush/close (fast, default for cloud storage)
|
||
// Cloud storage (GCS/S3/R2/Azure) should use 'deferred' for 30-50× faster adds
|
||
hnswPersistMode?: 'immediate' | 'deferred'
|
||
|
||
// HNSW optimization options (v7.11.0)
|
||
hnsw?: {
|
||
quantization?: {
|
||
enabled?: boolean // default: false — current behavior exactly
|
||
bits?: 8 | 4 // default: 8 (SQ8). SQ4 has a pure-JS implementation; cortex's distance:sq4 SIMD provider accelerates it.
|
||
rerankMultiplier?: number // default: 3 — over-retrieve 3x, rerank with float32
|
||
}
|
||
vectorStorage?: 'memory' | 'lazy' // default: 'memory' — 'lazy' evicts vectors after insert
|
||
}
|
||
|
||
// Memory management options
|
||
maxQueryLimit?: number // Override auto-detected query result limit (max: 100000)
|
||
reservedQueryMemory?: number // Memory reserved for queries in bytes (e.g., 1073741824 = 1GB)
|
||
|
||
// Embedding initialization
|
||
// Controls when the WASM embedding engine is initialized
|
||
// - false (default): Lazy initialization on first embed() call
|
||
// - true: Eager initialization during brain.init()
|
||
// Set to true for cloud deployments (Cloud Run, Lambda) where you want
|
||
// WASM compilation to happen during container startup, not on first request
|
||
eagerEmbeddings?: boolean
|
||
|
||
// Plugin configuration
|
||
// Controls which plugins are loaded during init()
|
||
// - undefined (default): Auto-detect installed plugins (@soulcraft/cortex, etc.)
|
||
// - false: No plugins — skip auto-detection entirely
|
||
// - []: No plugins — skip auto-detection entirely
|
||
// - ['@soulcraft/cortex']: Load only specified plugins, no auto-detection
|
||
plugins?: string[] | false
|
||
|
||
// Logging configuration
|
||
verbose?: boolean // Enable verbose logging
|
||
silent?: boolean // Suppress all logging output
|
||
|
||
// Integration Hub
|
||
// Enable external tool integrations: Excel, Power BI, Google Sheets, etc.
|
||
// - true: Enable all integrations with default paths
|
||
// - false/undefined: Disable integrations (default)
|
||
// - IntegrationsConfig: Custom configuration
|
||
integrations?: boolean | IntegrationsConfig
|
||
|
||
// Migration configuration
|
||
// - false/undefined (default): Log warning if pending migrations exist, but don't auto-run
|
||
// - true: Automatically run pending migrations during init() for small datasets (<10K entities)
|
||
autoMigrate?: boolean
|
||
|
||
/**
|
||
* Brain-wide subtype enforcement mode.
|
||
*
|
||
* Opt-in in 7.30.0 (default: `false`); becomes the default in 8.0.0.
|
||
*
|
||
* - `false` / `undefined` (default): no brain-wide check. Per-type rules
|
||
* registered via `brain.requireSubtype(type, options)` still apply.
|
||
* - `true`: every `add()` / `addMany()` / `update()` / `relate()` /
|
||
* `relateMany()` / `updateRelation()` rejects writes where the entity's
|
||
* NounType (or relationship's VerbType) has no non-empty `subtype` value.
|
||
* - `{ except: [NounType.Thing, NounType.Custom] }`: same as `true`, but
|
||
* the listed types are allowed through without a subtype. Use for genuine
|
||
* catch-all types where no subtype makes sense.
|
||
*
|
||
* Per-type registrations always compose with the brain-wide flag — a type
|
||
* registered with `requireSubtype(type, { required: true })` is always
|
||
* enforced regardless of this flag.
|
||
*/
|
||
requireSubtype?: boolean | { except: Array<import('../types/graphTypes.js').NounType | import('../types/graphTypes.js').VerbType> }
|
||
|
||
/**
|
||
* Process role for multi-process safety on filesystem storage.
|
||
*
|
||
* - `'writer'` (default): acquires an exclusive lock on the storage directory at
|
||
* `init()` and refuses to open if another live writer holds the lock. Required
|
||
* for any instance that calls `add`/`update`/`delete`/`relate` or any other
|
||
* mutation. Released on `close()` and on process exit/SIGINT/SIGTERM.
|
||
* - `'reader'`: opens without acquiring the writer lock. Coexists with a live
|
||
* writer and with other readers. All mutation methods throw
|
||
* `Cannot mutate a read-only Brainy instance`. Use `Brainy.openReadOnly()`
|
||
* as a convenience factory.
|
||
*
|
||
* For cloud storage backends (s3/r2/gcs/azure) the lock is a best-effort
|
||
* advisory marker — multi-process safety against concurrent writers on
|
||
* cloud-backed stores is not yet enforced. See `docs/concepts/multi-process.md`.
|
||
*/
|
||
mode?: 'writer' | 'reader'
|
||
|
||
/**
|
||
* Bypass the writer-lock check at init even when another writer holds the lock.
|
||
* Use only when you know the existing lock is stale and stale-detection
|
||
* (PID liveness + heartbeat) cannot prove it. Logs a warning regardless.
|
||
*/
|
||
force?: boolean
|
||
}
|
||
|
||
// ============= Neural API Types =============
|
||
|
||
/**
|
||
* Neural similarity parameters
|
||
*/
|
||
export interface NeuralSimilarityParams {
|
||
between?: [any, any] // Compare two items
|
||
items?: any[] // Compare multiple items
|
||
explain?: boolean // Return detailed breakdown
|
||
}
|
||
|
||
/**
|
||
* Neural clustering parameters
|
||
*/
|
||
export interface NeuralClusterParams {
|
||
items?: string[] | Entity[] // Items to cluster (or all)
|
||
algorithm?: 'hierarchical' | 'kmeans' | 'dbscan' | 'spectral'
|
||
params?: {
|
||
k?: number // Number of clusters (kmeans)
|
||
threshold?: number // Distance threshold (hierarchical)
|
||
epsilon?: number // DBSCAN epsilon
|
||
minPoints?: number // DBSCAN min points
|
||
}
|
||
visualize?: boolean // Return visualization data
|
||
}
|
||
|
||
/**
|
||
* Neural anomaly detection parameters
|
||
*/
|
||
export interface NeuralAnomalyParams {
|
||
threshold?: number // Standard deviations (default: 2.5)
|
||
type?: NounType // Check specific type
|
||
method?: 'isolation' | 'lof' | 'statistical' | 'autoencoder'
|
||
returnScores?: boolean // Return anomaly scores
|
||
}
|
||
|
||
// ============= Content Extraction Types =============
|
||
|
||
/**
|
||
* Detected content type for smart text extraction
|
||
*
|
||
*/
|
||
export type ContentType = 'plaintext' | 'richtext-json' | 'html' | 'markdown'
|
||
|
||
/**
|
||
* Content category for extracted segments
|
||
*
|
||
* Universal categories that work across documents, code, and UI:
|
||
* - 'title': Names the subject — headings, identifiers, labels, JSON keys
|
||
* - 'annotation': Human explanation — comments, docstrings, captions, alt text
|
||
* - 'content': Body substance — paragraphs, list items, flowing text
|
||
* - 'value': Data literals — strings, numbers, form values, error messages
|
||
* - 'code': Unparsed code blocks (custom parsers decompose into above)
|
||
* - 'structural': Boilerplate — keywords, operators, punctuation, formatting
|
||
*
|
||
* Built-in extractors produce: 'title', 'content', 'code'.
|
||
* All 6 categories are available for custom parsers.
|
||
*/
|
||
export type ContentCategory = 'title' | 'annotation' | 'content' | 'value' | 'code' | 'structural'
|
||
|
||
/**
|
||
* A segment of extracted text with its content category
|
||
*
|
||
*/
|
||
export interface ExtractedSegment {
|
||
/** The extracted text content */
|
||
text: string
|
||
/** What role this text plays: 'title' | 'annotation' | 'content' | 'value' | 'code' | 'structural' */
|
||
contentCategory: ContentCategory
|
||
}
|
||
|
||
// ============= Semantic Highlighting Types =============
|
||
|
||
/**
|
||
* Parameters for hybrid highlighting
|
||
*
|
||
* Zero-config highlighting that returns both text (exact) and semantic (concept) matches.
|
||
* Perfect for UI highlighting at different levels.
|
||
*
|
||
* Added contentType hint and contentExtractor callback for structured text
|
||
* (rich-text JSON, HTML, Markdown). Auto-detects format when not specified.
|
||
*
|
||
* @example
|
||
* ```typescript
|
||
* // Plain text
|
||
* const highlights = await brain.highlight({
|
||
* query: "david the warrior",
|
||
* text: "David Smith is a brave fighter who battles dragons"
|
||
* })
|
||
*
|
||
* // Rich-text JSON (auto-detected)
|
||
* const highlights = await brain.highlight({
|
||
* query: "david the warrior",
|
||
* text: JSON.stringify(tiptapDocument)
|
||
* })
|
||
*
|
||
* // Custom extractor (for proprietary formats)
|
||
* const highlights = await brain.highlight({
|
||
* query: "function",
|
||
* text: sourceCode,
|
||
* contentExtractor: (text) => treeSitterParse(text)
|
||
* })
|
||
* ```
|
||
*/
|
||
export interface HighlightParams {
|
||
/** The search query to match against */
|
||
query: string
|
||
|
||
/** The text to highlight (e.g., entity.data) */
|
||
text: string
|
||
|
||
/** Granularity of highlighting: 'word' (default), 'phrase', or 'sentence' */
|
||
granularity?: 'word' | 'phrase' | 'sentence'
|
||
|
||
/** Minimum semantic similarity score for semantic matches (default: 0.5) */
|
||
threshold?: number
|
||
|
||
/**
|
||
* Optional content type hint to skip auto-detection.
|
||
* When omitted, the content type is detected from the text content.
|
||
*/
|
||
contentType?: ContentType
|
||
|
||
/**
|
||
* Optional custom content extractor function.
|
||
* When provided, bypasses built-in detection and extraction entirely.
|
||
* Use this to plug in custom parsers (tree-sitter, Monaco, proprietary formats).
|
||
*/
|
||
contentExtractor?: (text: string) => ExtractedSegment[]
|
||
}
|
||
|
||
/**
|
||
* A highlight showing which text matched the query
|
||
*
|
||
* matchType tells the UI how to style the highlight:
|
||
* - 'text': Exact word match (strongest signal, highest confidence)
|
||
* - 'semantic': Conceptually similar match (may need softer highlight)
|
||
*/
|
||
export interface Highlight {
|
||
/** The text that matched */
|
||
text: string
|
||
|
||
/** Match score (0-1). For text matches, always 1.0. For semantic, varies by similarity. */
|
||
score: number
|
||
|
||
/** Position in original text [start, end] */
|
||
position: [number, number]
|
||
|
||
/** Match type: 'text' (exact word match) or 'semantic' (concept match) */
|
||
matchType: 'text' | 'semantic'
|
||
|
||
/**
|
||
* Content category of the source segment: 'title' | 'annotation' | 'content' | 'value' | 'code' | 'structural'.
|
||
* Present when the input text was structured (JSON, HTML, Markdown).
|
||
*/
|
||
contentCategory?: ContentCategory
|
||
}
|
||
|
||
// ============= Export all types =============
|
||
|
||
export * from './graphTypes.js' // Re-export NounType, VerbType, etc.
|