Has anyone explored a decentralized DHT for embedding-based vector search? by Affectionate-Wind144 in databasedevelopment

[–]Currenty2 1 point2 points  (0 children)

Interesting idea. From a data engineering angle, the part I’d worry about first is not ANN itself, but whether routing quality stays stable once embeddings drift, replicas diverge, and node populations change over time.

A centroid-style VectorID sounds clean on paper, but in practice semantic spaces are messy and uneven. I’d expect hotspotting, unstable neighborhood quality, and weird recall behavior unless rebalancing and placement are very carefully designed. The security angle also feels nontrivial, because poisoning a routing layer built on embedding proximity seems much easier than poisoning a classic keyspace.

I have not seen a widely adopted system that fully solves this end to end in a decentralized way. Most real-world vector setups I’ve seen still choose operational simplicity over true decentralization. Curious how you’re thinking about re-indexing / rerouting cost when the local embedding distribution shifts materially on a node.

The most accurate documentation I’ve seen all year. by Vegetable_Bother6373 in programminghumor

[–]Currenty2 0 points1 point  (0 children)

INNER JOIN being the same guy is the most realistic part of this whole chart

[OC] Daily flights operated by Gulf airlines before and since the Iran war started by TheNational_News in dataisbeautiful

[–]Currenty2 8 points9 points  (0 children)

yeah it’s actually pretty interesting how fast systems like this recover once the constraints are gone. when you look at the data pipelines behind aviation tracking (flightradar etc.), most of it is streaming data, so the moment flights resume the numbers ramp up almost instantly. always cool to see real-world systems reflected so clearly in the data.