<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Lancedb on Andrea Bozzo | Blog</title><link>https://andreabozzo.pages.dev/tags/lancedb/</link><description>Recent content in Lancedb on Andrea Bozzo | Blog</description><generator>Hugo -- 0.147.0</generator><language>it-IT</language><lastBuildDate>Tue, 07 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://andreabozzo.pages.dev/tags/lancedb/index.xml" rel="self" type="application/rss+xml"/><item><title>Lance Format e LanceDB: Storage Columnar per l'Era degli Embedding</title><link>https://andreabozzo.pages.dev/posts/lancearticle-blog/</link><pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate><guid>https://andreabozzo.pages.dev/posts/lancearticle-blog/</guid><description>Lance è un formato columnar costruito per i workload ML — accesso casuale veloce, indicizzazione vettoriale nativa e integrazione Arrow zero-copy. Questo articolo esplora il formato, LanceDB, e come l&amp;#39;ho collegato a uno stream NATS in tempo reale.</description></item></channel></rss>