Search Mode

import os
import weaviate
from weaviate.agents.query import QueryAgent
from weaviate.classes.init import Auth

client = weaviate.connect_to_weaviate_cloud(
    cluster_url=os.environ.get("WEAVIATE_URL"),
    auth_credentials=Auth.api_key(os.environ.get("WEAVIATE_API_KEY")),
)

qa = QueryAgent(
    client=client,
    collections=["ECommerce"],
)

import weaviate from 'weaviate-client';
import { QueryAgent } from 'weaviate-agents';

search_response = qa.search(
    "What are Setwise Rerankers?",
    limit=10,
    effort="ultrahigh",
)

for obj in search_response.search_results.objects:
    print(obj.properties)

const effortResponse = await qa.search("What are Setwise Rerankers?", {
    limit: 10,
    effort: "ultrahigh",
});

for (const obj of effortResponse.searchResults.objects) {
    console.log(obj.properties);
}

search_response = qa.search(
    "Find me some vintage shoes under $70",
    filtering="precision",
    limit=10,
)

for obj in search_response.search_results.objects:
    print(f"Product: {obj.properties['name']} - ${obj.properties['price']}")

const filteringResponse = await qa.search("Find me some vintage shoes under $70", {
    filtering: "precision",
    limit: 10,
});

for (const obj of filteringResponse.searchResults.objects) {
    console.log(`Product: ${obj.properties['name']} - $${obj.properties['price']}`);
}

qa = QueryAgent(
    client=client, 
    collections=[
        QueryAgentCollectionConfig(
            name="ECommerce",
            target_vector=["name_description_brand_vector"],
        )
    ]
)

search_response = qa.search(
    "summer shoes",
    limit=10,
    diversity_weight=0.5,
)

for obj in search_response.search_results.objects:
    print(f"Product: {obj.properties['name']} - ${obj.properties['price']}")

const diversitySearchResponse = await qa.search("summer shoes", {
    limit: 10,
    diversityWeight: 0.5,
    collections: [{
        name: "ECommerce",
        targetVector: ["name_description_brand_vector"],
    }],
});

for (const obj of diversitySearchResponse.searchResults.objects) {
    console.log(`Product: ${obj.properties['name']} - $${obj.properties['price']}`);
}

# Search with pagination
response_page_1 = qa.search(
    "Find summer shoes and accessories between $50 and $100 that have the tag 'sale'",
    limit=3,
)

# Get the next page of results
response_page_2 = response_page_1.next(limit=3, offset=3)

# Continue paginating
response_page_3 = response_page_2.next(limit=3, offset=6)

# Access results from each page
for page_num, page_response in enumerate(
    [response_page_1, response_page_2, response_page_3], 1
):
    print(f"Page {page_num}:")
    for obj in page_response.search_results.objects:
        # Safely access properties in case they don't exist
        name = obj.properties.get("name", "Unknown Product")
        price = obj.properties.get("price", "Unknown Price")
        print(f"  {name} - ${price}")
    print()

// Search with pagination
const responsePage1 = await qa.search(
    "Find summer shoes and accessories between $50 and $100 that have the tag 'sale'", {
    limit: 3,
});

// Get the next page of results
const responsePage2 = await responsePage1.next({ limit: 3, offset: 3 });

// Continue paginating
const responsePage3 = await responsePage2.next({ limit: 3, offset: 6 });

const pages = [responsePage1, responsePage2, responsePage3];

pages.forEach((pageResponse, index) => {
    const pageNum = index + 1;
    console.log(`Page ${pageNum}:`);

    pageResponse.searchResults.objects.forEach(obj => {
        // Safely access properties in case they don't exist
        const name = obj.properties.name || "Unknown Product";
        const price = obj.properties.price || "Unknown Price";
        console.log(`  ${name} - $${price}`);
    });
});