brainy/docs/guides/MIGRATING_TO_V5.11.md
David Snelling 0ddc05a5bb feat: enforce data/metadata separation, numeric range queries, improved docs
- 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- Remove 10 outdated/redundant doc files consolidated into API reference.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).
2026-02-09 12:07:54 -08:00

6.3 KiB

Migrating to v5.11.1

Overview

v5.11.1 introduces a breaking change with massive performance benefits:

  • brain.get() now loads metadata-only by default (76-81% faster!)
  • Vector embeddings require explicit opt-in: { includeVectors: true }

Impact: Only ~6% of codebases need changes (code that computes similarity on retrieved entities).

What Changed

Before (v5.11.0 and earlier)

const entity = await brain.get(id)
// entity.vector was ALWAYS loaded (384 dimensions, 6KB)
console.log(entity.vector.length)  // 384

After (v5.11.1)

// DEFAULT: Metadata-only (76-81% faster)
const entity = await brain.get(id)
console.log(entity.vector)  // [] (empty array - not loaded)

// EXPLICIT: Full entity with vectors
const entity = await brain.get(id, { includeVectors: true })
console.log(entity.vector.length)  // 384

Who Needs to Update?

NO CHANGES NEEDED (94% of code)

If you use brain.get() for:

  • VFS operations (readFile, stat, readdir)
  • Existence checks: if (await brain.get(id))
  • Metadata access: entity.data, entity.type, entity.metadata
  • Relationship traversal
  • Admin tools, import utilities, data APIs

Zero changes needed, automatic 76-81% speedup!

⚠️ REQUIRES UPDATE (~6% of code)

If you use brain.get() AND then compute similarity on the returned entity:

// ❌ BEFORE (v5.11.0) - will break in v5.11.1
const entity = await brain.get(id)
const similar = await brain.similar({ to: entity.vector })  // entity.vector is [] !

// ✅ AFTER (v5.11.1) - add includeVectors
const entity = await brain.get(id, { includeVectors: true })
const similar = await brain.similar({ to: entity.vector })  // Works!

Note: brain.similar({ to: entityId }) (using ID) still works - no changes needed!

Migration Steps

Step 1: Find Affected Code

Search your codebase for patterns that use vectors from brain.get():

# Find brain.get() calls that access .vector
grep -r "await brain.get(" --include="*.ts" --include="*.js" | \
  grep -E "(\.vector|entity\.vector)"

Step 2: Update Pattern-by-Pattern

Pattern 1: Similarity Using Retrieved Entity Vector

// ❌ BEFORE
const entity = await brain.get(id)
const similar = await brain.similar({ to: entity.vector })

// ✅ AFTER - Option A: Add includeVectors
const entity = await brain.get(id, { includeVectors: true })
const similar = await brain.similar({ to: entity.vector })

// ✅ AFTER - Option B: Use ID directly (recommended)
const similar = await brain.similar({ to: id })

Pattern 2: Manual Vector Operations

// ❌ BEFORE
const entity = await brain.get(id)
const magnitude = Math.sqrt(entity.vector.reduce((sum, v) => sum + v*v, 0))

// ✅ AFTER
const entity = await brain.get(id, { includeVectors: true })
const magnitude = Math.sqrt(entity.vector.reduce((sum, v) => sum + v*v, 0))

Pattern 3: Vector Assertions in Tests

// ❌ BEFORE
const entity = await brain.get(id)
expect(entity.vector).toBeDefined()
expect(entity.vector.length).toBe(384)

// ✅ AFTER
const entity = await brain.get(id, { includeVectors: true })
expect(entity.vector).toBeDefined()
expect(entity.vector.length).toBe(384)

Step 3: Verify Migration

Run your test suite to catch any remaining issues:

npm test

Look for errors like:

  • entity.vector is empty or entity.vector.length is 0
  • Cannot compute similarity on empty vector

Add { includeVectors: true } wherever these errors occur.

Performance Impact

Before Migration

brain.get(): 43ms, 6KB per call
VFS readFile(): 53ms per file
VFS readdir(100 files): 5.3s

After Migration

brain.get(): 10ms, 300 bytes per call (76-81% faster) ✨
brain.get({ includeVectors: true }): 43ms, 6KB (unchanged)
VFS readFile(): ~13ms per file (75% faster) ✨
VFS readdir(100 files): ~1.3s (75% faster) ✨

Result:

  • VFS operations: 75% faster
  • Metadata access: 76-81% faster
  • Vector similarity: Unchanged (still fast when needed)

TypeScript Support

The new GetOptions interface is fully typed:

interface GetOptions {
  /**
   * Include 384-dimensional vector embeddings in the response
   *
   * Default: false (metadata-only for 76-81% speedup)
   */
  includeVectors?: boolean
}

// TypeScript will autocomplete and validate
const entity = await brain.get(id, { includeVectors: true })

Rollback Plan

If you encounter issues, you can temporarily force full entity loading everywhere:

// Temporary wrapper (NOT RECOMMENDED - defeats optimization)
async function getLegacy(id: string) {
  return brain.get(id, { includeVectors: true })
}

// Use throughout codebase while migrating
const entity = await getLegacy(id)

Important: This defeats the 76-81% performance improvement. Only use temporarily while fixing affected code.

FAQ

Q: Why did you make this a breaking change?

A: The performance gains are massive (76-81% speedup, 95% less bandwidth) and affect 94% of code positively. Only ~6% of code needs updates. The net benefit is enormous.

Q: Do I need to update my VFS code?

A: No! VFS automatically benefits from the optimization with zero code changes. Your VFS operations are now 75% faster automatically.

Q: Will brain.similar() still work?

A: Yes! brain.similar({ to: entityId }) works exactly as before. Only brain.similar({ to: entity.vector }) requires the entity to be loaded with { includeVectors: true }.

Q: What about backward compatibility?

A: Entities returned without vectors have vector: [] (empty array), which is type-safe. Code that doesn't use vectors continues to work. Only code that explicitly uses entity.vector needs updating.

Q: Can I check if vectors are loaded?

A: Yes! Check entity.vector.length > 0 to detect if vectors were loaded.

const entity = await brain.get(id)
if (entity.vector.length > 0) {
  // Vectors are loaded
} else {
  // Metadata-only
}

Support

If you encounter migration issues:

  1. Check the VFS Performance Guide
  2. Review API Reference
  3. See Performance Documentation
  4. File an issue: https://github.com/soulcraft/brainy/issues

Changelog

See CHANGELOG.md for complete v5.11.1 release notes.