Your database decision could come back to haunt you
When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision…
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You can outgrow vanilla Postgres without abandoning Postgres
For many data aficionados, Postgres is the way to store and manage relational data. It’s efficient, it’s straightforward, and it The pos…
Think you need a better reranker? Check your retrieval first.
You built a search system using the latest, greatest models, and maybe you were thrilled with the outcome. But what The post Think you need a better…
pgEdge’s new agent database branches never merge back into the source
AI coding agents can get an application running quickly, but taking that prototype into production is another problem. The database The post pgEdge&…
Perplexity’s AI agents helped build a database. They weren’t allowed to run it.
Perplexity decided it was paying too much for DynamoDB and wasn’t getting the control it wanted over read performance. So The post Perplexity’…
Want to scale AI agents without breaking anything? Retrieval engineering is the answer.
AI agents are multiplying as corporations adopt the technology in record numbers. Smarter underlying models, better tool use, and improved The post…
When agents build, deploy, and maintain, persistence becomes the hard problem
Every application has always needed a place to keep its state. That is not new. What is new is who The post When agents build, deploy, and maintain,…
Why AI retrieval and ranking need more than vector search
A recent GigaOm CxO Decision Brief explores how AI retrieval architectures are evolving beyond flat vector databases as organizations combine The po…
How Jaeger hit 8.6× compression on 10 million spans with ClickHouse
As someone who’s been maintaining Jaeger, I’ve watched users request ClickHouse support consistently over the past few years. With Jaege…