I think what we're seeing with every database company providing new full-text search capabilities is an example of AI coding productivity showing up in the real world.
It started with paradeDB and pg_search <a href="https://www.paradedb.com/blog/introducing-search">https://www.paradedb.com/blog/introducing-search
Timescale has pg_textsearch <a href="https://github.com/timescale/pg_textsearch" rel="nofollow">https://github.com/timescale/pg_textsearch
Neon and Databricks have Lakebase Search <a href="https://docs.databricks.com/aws/en/oltp/projects/lakebase-search" rel="nofollow">https://docs.databricks.com/aws/en/oltp/projects/lakebase-se...
Now PlanetScale.
AFAIK all of these are implementations of the BM25 algorithm. You can just tell an agent to read about BM25 and implement it in your system of choice. Cool to see. Seems like there's still a lot of juice to be squeezed out of how it's architected and integrated into each system, but you can't help but wonder if this will lead to aggressive commodification
andrenotgiant · · focus · HN ↗
It started with paradeDB and pg_search <a href="https://www.paradedb.com/blog/introducing-search">https://www.paradedb.com/blog/introducing-search
Timescale has pg_textsearch <a href="https://github.com/timescale/pg_textsearch" rel="nofollow">https://github.com/timescale/pg_textsearch
Neon and Databricks have Lakebase Search <a href="https://docs.databricks.com/aws/en/oltp/projects/lakebase-search" rel="nofollow">https://docs.databricks.com/aws/en/oltp/projects/lakebase-se...
Now PlanetScale.
AFAIK all of these are implementations of the BM25 algorithm. You can just tell an agent to read about BM25 and implement it in your system of choice. Cool to see. Seems like there's still a lot of juice to be squeezed out of how it's architected and integrated into each system, but you can't help but wonder if this will lead to aggressive commodification
CodesInChaos · · focus · HN ↗