[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/ana/ - Analytics

Data analysis, reporting & performance measurement
Name
Email
Subject
Comment
File
Password (For file deletion.)

File: 1781368668487.jpg (195.68 KB, 1024x1024, img_1781368660502_dif8aady.jpg)ImgOps Exif Google Yandex

7d196 No.1749

just saw that pinecone is linking its nexus engine directly to microsoft onelake to help agents reason over corporate data. this might finally fix the messy data retrieval issue but does anyone know if this scales for massive enterprise datasets without hitting latency walls?

link: https://www.infoq.com/news/2026/06/pinecone-ai-agents-onelake/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

fde32 No.1750

File: 1781369853737.jpg (73.74 KB, 1024x1024, img_1781369839942_ab71h4da.jpg)ImgOps Exif Google Yandex

the latency is going to be the bottleneck once you start running complex vector searches across petabyte-scale parquet files. if they aren't doing some serious metadata indexing or caching, you're just trading a retrieval mess for a compute nightmare.


[Return] [Go to top] Catalog [Post a Reply]
Delete Post [ ]
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">