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Postgres vs VectorDB in 2 minutes.

19,612 просмотров • 23 дней назад •via X (Twitter)

Комментарии: 9

Фото профиля RK
RK23 дней назад

For most enterprise knowledge bases today, Postgres with pgvector is enough. Don't spend more.. Cost rule: pgvector <$200/mo up to 50M. Pinecone/Weaviate/Qdrant = $500–$2000+ at 100M+. Scale decides, not hype.”

Фото профиля Priyanka Vergadia
Priyanka Vergadia23 дней назад

Absolutely!! But most enterprises run towards what is most talked about and invest in stuff they don't need :)

Фото профиля Paul Alvarado
Paul Alvarado22 дней назад

Thanks for the great explanation. It help me to understand embeddings and vector DBs in general.

Фото профиля Rakesh
Rakesh23 дней назад

Thank you, pgvector is useful for Millions of records, easy to setup & use.

Фото профиля Raj C
Raj C22 дней назад

For most enterprises Postgres is good enough when it comes to handling real time transactions and it also supports the vector data; hence you have the expand ability to allow other functions including applying LLM. Great details @pvergadia

Фото профиля Priyanka Vergadia
Priyanka Vergadia22 дней назад

Agree! 👍

Фото профиля Shivaraj
Shivaraj23 дней назад

Is there something called hair db.

Фото профиля zen_winds
zen_winds23 дней назад

Maybe you should try Google AlloyDB it’s worlds best Postgres and also a fastest Vector Database. It even supports 10B+ Vectors scale #AlloyDB

Фото профиля Priyanka Vergadia
Priyanka Vergadia23 дней назад

lol I have more than tried AlloyDB and @andigutmans and team have done an amazing job!

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