FastEmbed + Qdrant for Image classification | Python Code

Watch as I discuss and demo FastEmbed with Qdrant vector database for image classification. It is a lightweight and fast Python library designed for generating high-quality text embeddings.

All of this is freely available without paying for tokens/API and it can all be run on-premise if you don't want to run any of it in the cloud. Even on an old laptop you get good results. (As seen in the video!).

Note: you don't even need to use/install sentence transformers, Pytorch or any Hugging Face model - FastEmbed has quite a few very good models already included.

chapters -
00:00 intro
00:40 what is FastEmbed?
01:08 lscpu
03:23 pip install qdrant-client fastembed
06:14 images dataset
07:11 start qdrant database
10:17 loading the model
14:00 qdrant gui
15:56 image cliassification - success

Link to the article(s)
https://redandgreen.co.uk/image-class...

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Thumbs up yeah? (cos Algos..)

#FastEmbed #Qdrant #AI