- saves infra costs
- saves infra headaches
- devs only need to be experts in one system (or well I guess one and a half, probably there's something to learn about ParadeDB too, but probably less than in learning Lucine)
- no need to worry about keeping data up to date in the separate seach system
- all data is available when you want to do new queries that you handn't thought of when implementing the data transfer/indexingI don't have much experience in dedicated vector databases, I've only used pgvector, so pardon me if there's an obvious answer to this, but how do people do similarity search combined with other filters and pagination with separate vector DB? It's a pretty common use case at least in my circles.
For example, give me product listings that match the search term (by vector search), and are made by company X (copanies being a separate table). Sort by vector similarity of the search term and give me top 100?.
We have even largely moved away from ElasticSearch to Postgres where we can, because it's just so much easier to implement with new complex filters without needing to add those other tables' data to the index of e.g. "products" every time.
Edit: Ah I guess this is touched a bit in the article with "Pre- vs. Post-Filtering" - I guess you just do the same as with ElasticSearch, predict what you'll want to filter with, add all of that to metadata and keep it up to date.
Ehh what. I would give some merit to arguments like "no one should use lodash in 2025 because you can do most of it with built-ins nowadays" or maybe because it doesn't tree-shake well or maybe even because it doesn't seem to have much active development now.
But stating matter-of-factly that no one should use it because some of its well-documented functions are mutating ones and not functional-style, and should instead use one particular FP library out of the many out there, is not very cool.
The post links to a TS issue [1] that explains
> As of TypeScript 5.0, the project's output target was switched from es5 to es2018 as part of a transition to ECMAScript modules. This meant that TypeScript could rely on the emit for native (and often more-succinct) syntax supported between ES2015 and ES2018. One might expect that this would unconditionally make things faster, but surprise we encountered was a slowdown from using let and const natively!
So they don't transpile to ES5, and that is the issue.