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I can search a database with 32 million records in less than 50 milliseconds. ​ This speed is insane! ​ There's no reason your search is slow. There's no reason you aren't using this library when building applications with a lot of data. ​ Take a look at typesense...

160,154 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von AkivaSk
AkivaSkvor 2 Jahren

@typesense I guess Windows have never heard about them.

Profilbild von Santiago
Santiagovor 2 Jahren

@typesense Apple hasn't either.

Profilbild von adrien
adrienvor 2 Jahren

@typesense Thanks for sharing @svpino What if my data is long form content such as a lot of transcripts of 3 hours videos? Do you still recommend using this? Also your description said it’s vector search but your demo seems to be keyword search? Thanks.

Profilbild von Santiago
Santiagovor 2 Jahren

@typesense It supports vector search.

Profilbild von Darko Medin
Darko Medinvor 2 Jahren

@typesense Really impressive example @svpino. Speed is essential in many business applications today.

Profilbild von Marcin Wojnarski
Marcin Wojnarskivor 2 Jahren

@typesense In-memory database, so its scalability and resilience is limited compared to ElasticSearch which can be distributed. Comparing apples to oranges. 32M records is nothing if you only search across several metadata fields without full-text content.

Profilbild von Muratcan Koylan
Muratcan Koylanvor 2 Jahren

@typesense This seems like keyword search tho

Profilbild von Santiago
Santiagovor 2 Jahren

@typesense The demo is a keyword search with tolerance for typos. Check their features:

Profilbild von Lionel Ngendakuriyo
Lionel Ngendakuriyovor 2 Jahren

@typesense What is the box specs ?

Profilbild von Santiago
Santiagovor 2 Jahren

@typesense I didn't find the box specs for this specific example, but I did find specs for similar examples:

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