Vector Search: Powering the Next Generation of Applications

[@hanslanger4399]

One of the best presentation I have ever seen about an overview of embeddings/ vector data, Thank you for sharing. Ben Flast, you are brilliant, great job!

[@greendsnow]

is there a soccer match going on in the meanwhile?

[@bellahasguns]

Women’s World Cup

[@NeverReply]

Such a nice feature explaning for a late bed time. But hands down, that was really inspiring!

[@MongoDB]

Thank you for the kind words!

[@robertcormia7970]

This was outstanding! I'm just a neophyte, but thinkng about an application involving vector embeddings of complex data, electron spectroscopy, probably a very high dimensional vector.

[@jorgegimenezperez9398]

Damn people in the background are very hyped about vector search!

[@rajithkumar3424]

Nice presentation . Finally Mongo into Vector Search . way to go

[@pedrorabbi]

@MongoDB Are there any additional costs for using that? Aside for the inherent costs of a little more storage and maybe a little more processing

[@Tritoon710]

Would love to see MongoDB as embedded database for desktop application as well.

[@justdoeverything8883]

It is with MongoDB Realm! I just found out about it today actually.

[@darkstudio3170]

Great presentation. One question , how this gonna work in distributed environent ? for suppose a new querry , the nearest neigbours may be present in different nodes / partitions.

[@MarcSalvat89]

Thanks for the presentation! It's a very nice feature, but will you release it outside of Atlas for on-premises systems?

[@MongoDB]

For now the feature is only available for MongoDB Atlas

[@thcookieh]

What about the costs?

[@ajithkumar0]

This is nice. How can we run vector search with a filter for geo location. Its asking for two indexes in the same pipeline, knnVector and geo type indexes - which is not possible as of now?

[@siddheshshirawale4115]

very informative presentation. How can I implement vector search on already inserted documents ?

[@adrianthomas5934]

Nice presentation. Are vectors only field level or could the embeddings be for all the fields in a document? Also will standalone servers support this in the near future not just Atlas based? tia

[@harrykekgmail]

great presentation. thank you. MongoDB, way to go!

[@MongoDB]

We're glad you enjoyed it! 💚