Query Methods

get(id: string): DocumentEmbedding<T> | undefined

interface DocumentEmbedding<T> {
  id: string;
  vector: Float32Array;
  metadata: T;
  text: string;
  createdAt: Date;
}

const doc = db.get('users:list');

if (doc) {
  console.log(doc.metadata.toolName);
  console.log(doc.text);
  console.log(doc.createdAt);
}

has(id: string): boolean

if (db.has('users:list')) {
  console.log('Document exists');
}

filter(filterFn: (metadata: T) => boolean): DocumentEmbedding<T>[]

// Get all billing tools
const billingTools = db.filter((m) => m.owner === 'billing');

// Get deprecated tools
const deprecated = db.filter((m) => m.deprecated === true);

// Combine conditions
const results = db.filter(
  (m) => m.owner === 'users' && !m.deprecated
);

getAll(): DocumentEmbedding<T>[]

const allDocs = db.getAll();
console.log(`Total: ${allDocs.length} documents`);

size(): number

console.log(`Index contains ${db.size()} documents`);

keys(): string[]

const ids = db.keys();
console.log('Document IDs:', ids);

values(): DocumentEmbedding<T>[]

const docs = db.values();
for (const doc of docs) {
  console.log(doc.id, doc.metadata);
}

getStats(): VectoriaStats

interface VectoriaStats {
  totalEmbeddings: number;
  dimensions: number;
  estimatedMemoryBytes: number;
  modelName: string;
}

const stats = db.getStats();

console.log({
  documents: stats.totalEmbeddings,
  dimensions: stats.dimensions,
  memoryMB: (stats.estimatedMemoryBytes / 1024 / 1024).toFixed(2),
  model: stats.modelName,
});