Embeddings, Similarity Search and Qdrant

  Рет қаралды 3,417

Qdrant - Vector Database & Search Engine

Qdrant - Vector Database & Search Engine

Күн бұрын

Пікірлер: 8
@sabrinaesaquino
@sabrinaesaquino 11 ай бұрын
one of the best explanations I've seen. thanks Daniel!
@thomasmitchell2514
@thomasmitchell2514 11 ай бұрын
The flipper zero in the background made me happy too, great explanation 😊
@daniel_romero
@daniel_romero 11 ай бұрын
😄
@moritzjost3521
@moritzjost3521 11 ай бұрын
Great Tutorial, definitely improved.
@FauziFayyad
@FauziFayyad 3 ай бұрын
Thanks for the explanation broww
@SDAravind
@SDAravind 2 ай бұрын
How to make retrieval time intelligent meaning retrive the latest without using metadata/payload. Latest can be from any year going back to previous years that is latest available.
@rohitrohit5464
@rohitrohit5464 2 ай бұрын
Want video on how embeddings work
@Sac-x5p
@Sac-x5p 3 ай бұрын
Even though the content is amazingly excellent the accent is poor and it makes the content pretty hard to understand
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