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!
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.
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.
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?
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
is there a soccer match going on in the meanwhile?
Women’s World Cup
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!
Such a nice feature explaning for a late bed time. But hands down, that was really inspiring!
Thank you for the kind words!
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.
Would love to see MongoDB as embedded database for desktop application as well.
It is with MongoDB Realm! I just found out about it today actually.
Damn people in the background are very hyped about vector search!
Nice presentation . Finally Mongo into Vector Search . way to go
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.
@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
Thanks for the presentation! It's a very nice feature, but will you release it outside of Atlas for on-premises systems?
For now the feature is only available for MongoDB Atlas
very informative presentation. How can I implement vector search on already inserted documents ?
What about the costs?
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?
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
great presentation. thank you. MongoDB, way to go!
We're glad you enjoyed it! 💚