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-classification-fastembed/ai-ml/ Your Complete Toolbox for Web Scraping - 10% discount here : 🏆 https://scrapeops.io/?fpr=ken56 If you want a fast VPS server with Python installed check out : 🟩 https://webdock.io/en?maff=wdaff--170 Thumbs up yeah? (cos Algos..) #FastEmbed #Qdrant #AI