Excellent presentation on the benefits of using context for semantic search. Black-box similarity scores may be acceptable for some applications, but explainable answers are critical in business environments. the steps shown in this presentation are invaluable.
Hi! One limitation I found in other vector database like Milvus is that a single table can only have one vector field. Can Neo4j store multiple vector fields in one single node? Thanks for the video, nice explanation and very valuable information
what a brilliant presentation! Thank you very much Neo4J team for the quality tutorials
You're very welcome!
Excellent presentation on the benefits of using context for semantic search. Black-box similarity scores may be acceptable for some applications, but explainable answers are critical in business environments. the steps shown in this presentation are invaluable.
Thank you
Thank you JB, this was very helpful
thank you!
thank you! very nice presentation I am going to implement
Great! Thank you!
Really great presentation. Thanks a lot
Thank you!
Thank you for this content
Any time! Thank you for watching!
Hi! One limitation I found in other vector database like Milvus is that a single table can only have one vector field. Can Neo4j store multiple vector fields in one single node? Thanks for the video, nice explanation and very valuable information
Can someone please link me to python samples to do the same what's been explained in the video ?
we only have the repo for episode 21: github.com/jbarrasa/goingmeta/tree/main/session21