Hacker News new | ask | show | jobs
by tw1984 877 days ago
for now.

let me repeat what I have already explained - when compared to today's leading AI tech, a "vector database" is just ancient tech. major players are going to build their inhouse solution or they'd conclude it to be some kind of labor intensive & low profit margin baggage and outsource it.

you can build a business around it, just like all major tech companies have cleaning guys work for them one way or another, people have to realize that it doesn't make carpet cleaning a high tech or strategically important business.

1 comments

Work into performant vector search is an active area of research. If it were such a commodity, there wouldn’t be such a wide variance in performance among existing solutions.

There are a ton of open questions. If you think about Elasticsearch as a similar domain, you have complexity at the ingest, storage, and horizontal scalability layer. If you think places are going to invest in their own distributed system that handles these components, I think you’d be as wrong as saying that people will invest in their own managed Lucene implementations.