Does NLWeb have summarization capability? Or if the data doesn’t contain it, won’t it summarize?

[LiuYuPeng1101]

this is my data:
https://shop.example.com/products/sony-headphones {"@context": "https://schema.org", "@type": "Product", "name": "Sony WH-1000XM5 无线降噪耳机", "description": "业界领先的降噪技术，30小时续航，高音质音乐体验", "brand": {"@type": "Brand", "name": "Sony"}, "category": "耳机", "sku": "WH1000XM5-BLK", "model": "WH-1000XM5", "color": "黑色", "image": ["https://shop.example.com/images/sony-wh1000xm5-1.jpg", "https://shop.example.com/images/sony-wh1000xm5-2.jpg"], "offers": {"@type": "Offer", "price": "399.99", "priceCurrency": "USD", "availability": "https://schema.org/InStock", "validFrom": "2024-01-01", "seller": {"@type": "Organization", "name": "Audio Pro"}}, "aggregateRating": {"@type": "AggregateRating", "ratingValue": "4.7", "ratingCount": "2100", "bestRating": "5", "worstRating": "1"}, "additionalProperty": [{"@type": "PropertyValue", "name": "降噪技术", "value": "主动降噪"}, {"@type": "PropertyValue", "name": "连接方式", "value": "蓝牙5.2"}, {"@type": "PropertyValue", "name": "续航时间", "value": "30小时"}]}
Regarding the data, my question is:
Q:Extract all technical specifications from additionalProperty?
i see the answer:

The meaning of [object Object] in the image is? Its response seems to lack summarization capability.

[chelseacarter29]

Hi - It does have summariziation capabilities. How did you do your encoding to the db, and which db are you using?

[LiuYuPeng1101]

i use this command python -m tools.db_load /app/data/json/ecommerce_products_schema.csv ecommerce-products ，

"I've found that when my question contains a relationship between concepts, the AI can't answer it accurately. For example, a question like, 'Besides Bluetooth headphones, what laptops also use noise-canceling technology?' gets an inaccurate response. What can I do to get better answers?

[rvguha]

Does the data for answering that exist in your database?

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On Sun, Jun 29, 2025 at 8:28 AM LiuYuPeng1101 ***@***.***> wrote: *LiuYuPeng1101* left a comment (microsoft/NLWeb#234) <#234 (comment)> i use this command python -m tools.db_load /app/data/json/ecommerce_products_schema.csv ecommerce-products ， "I've found that when my question contains a relationship between concepts, the AI can't answer it accurately. For example, a question like, 'Besides Bluetooth headphones, what laptops also use noise-canceling technology?' gets an inaccurate response. What can I do to get better answers? — Reply to this email directly, view it on GitHub <#234 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABICKCRQFTG5WHRC7ZSALY33GAAZXAVCNFSM6AAAAACAEDHYJ2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZTAMJWG44DQMZSGE> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[LiuYuPeng1101]

The data is stored in my database, but not all of it has been retrieved, just like my previous question, which did not explicitly state what noise reduction technology the laptop uses. However, the laptop data only provides the parameters of the noise reduction technology, and I found that there is no answer in the returned results

[LiuYuPeng1101]

The data is stored in my database, but not all of it has been retrieved, just like my previous question, which did not explicitly state what noise reduction technology the laptop uses. However, the laptop data only provides the parameters of the noise reduction technology, and I found that there is no answer in the returned results