WHAT NEW IN X10.31 SAT

X 上的 AI 合集档案 · 22 个合集 · 63,169 条

jevIMAGE

ObsessionDB/ClickHouse 接入 Jev 做 SQL 语义查询

在 ClickHouse 里用 aiFilter 对 agent 会话做语义过滤和打分,约 50 行/请求、300ms,把 Jev 当数据库原语用。

Rafa Aviles
@avilesrafa2026.09.20收录原推发布于 2026.09.20
ObsessionDB/ClickHouse 接入 Jev 做 SQL 语义查询
Rafa Aviles @avilesrafa原推发布于 2026.09.20
在 X 上打开原推

We just added Jev support to ObsessionDB/ClickHouse. The interesting part isn’t just “LLM in SQL”, it’s that Jev is fast enough to make semantic queries feel like part of the database workflow. You can analyze AI agent sessions on the go! aiFilter(session, 'was the user frustrated, map('model','jev-1.13.0')) or score frustration, success, intent, exposed credentials, etc. At write time: turn meaning into columns. At read time: ask new questions you never instrumented. ~50 rows/request, ~300ms in our current setup. Feels like a new primitive for AI product telemetry.

x.com/avilesrafa/status/2101356663852961917采集于 2026.09.20 10:12