Search with payload filters

import random
from actian_vectorai import VectorAIClient, FilterBuilder, Field

DIMENSION = 128
COLLECTION = "products"

# Connect to VectorAI DB server
with VectorAIClient("localhost:6574") as client:
    # Search for electronics under $600 with similarity
    query_vector = [random.gauss(0, 1) for _ in range(DIMENSION)]
    
    # Build filter for electronics under $600
    filter = FilterBuilder()\
        .must(Field("category").eq("electronics"))\
        .must(Field("price").lt(600.0))\
        .build()
    
    # Search with filter
    results = client.points.search(
        COLLECTION,  # Collection name
        vector=query_vector,  # Query vector
        limit=5,  # Maximum results
        filter=filter  # Apply filter
    )
    
    # Display results
    print("Search results (electronics under $600):")
    for result in results:
        print(f"  - {result.payload} (score: {result.score:.4f})")

import { VectorAIClient, Field } from '@actian/vectorai-client';

const DIMENSION = 128;
const COLLECTION = 'products';

async function main() {
  const client = new VectorAIClient('localhost:6574');

  // Search for electronics under $600 with similarity
  const queryVector = Array.from({ length: DIMENSION }, () => Math.random() * 2 - 1);

  // Build filter for electronics under $600
  const filter = new Field('category').eq('electronics').and(
    new Field('price').lt(600.0)
  );

  // Search with filter
  const results = await client.points.search(COLLECTION, queryVector, {
    limit: 5,  // Maximum results
    filter: filter,  // Apply filter
    withPayload: true,
  });

  // Display results
  console.log('Search results (electronics under $600):');
  for (const result of results) {
    console.log(`  - ${JSON.stringify(result.payload)} (score: ${result.score.toFixed(4)})`);
  }
}

main().catch(console.error);