Search with filters

import asyncio
from actian_vectorai import AsyncVectorAIClient, FilterBuilder, Field
import random

async def main():
    # Connect to VectorAI DB server
    async with AsyncVectorAIClient("localhost:6574") as client:
        # Generate query vector
        query_vector = [random.gauss(0, 1) for _ in range(128)]
        
        # Search with metadata filters
        filter = FilterBuilder()\
            .must(Field("category").eq("electronics"))\
            .must(Field("price").lt(500.0))\
            .build()
        
        # Search with filter
        results = await client.points.search(
            "my_collection",  # Collection name
            vector=query_vector,  # Query vector
            limit=10,  # Number of results
            filter=filter  # Apply filter
        )
        
        # Display results
        for result in results:
            print(f"Product: {result.payload['name']}")
            print(f"Price: ${result.payload['price']}")
            print(f"Score: {result.score}")

asyncio.run(main())

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

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

    try {
        // Generate query vector
        const queryVector = Array.from({ length: 128 }, () => Math.random() * 2 - 1);

        // Search with metadata filters
        const filter = new Field('category').eq('electronics')
            .and(new Field('price').lt(500.0));

        // Search with filter
        const results = await client.points.search(
            'my_collection',  // Collection name
            queryVector,      // Query vector
            {
                limit: 10,    // Number of results
                filter: filter // Apply filter
            }
        );

        // Display results
        for (const result of results) {
            console.log(`Product: ${result.payload.name}`);
            console.log(`Price: $${result.payload.price}`);
            console.log(`Score: ${result.score}`);
        }
    } finally {
        client.close();
    }
}

main().catch(console.error);