๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Zachi
@iam_zachi
I develop and do some security stuff 38x CVEโ€˜s ๐Ÿ™‹๐Ÿฝโ€โ™‚๏ธ ๐Ÿ“ฑ ๐Ÿ˜ ๐Ÿงฉ
๊ฐ€์ž… December 2024
267 ํŒ”๋กœ์ž‰ ์ค‘    4.9K ํŒฌ
Update: after increasing the size by 30x, jev is still fast as fck Keep in mind: No index, no vectors, just jev judging row by row ๐Ÿ”ฅ
I think I just cooked something ๐Ÿ”ฅ jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(people, 'name sounds european') 129 rows judged in ~1s for $0.0009. Second run: 6ms from cache.
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