Recommender Systems with Qdrant

How to set up a personalized recommender system with Python, Qdrant and Numpy. Follow a tutorial using some Faker created data. We use approximate nearest neighbour search to find the most suitable results, with Qdrant client. - chapters - 00:00 intro 01:55 set up the client 04:37 deprecation warning 07:44 upsert 15:10 similar vectors 20:55 advanced features Credit : https://medium.com/@shaikhrayyan123/building-personalized-recommender-systems-with-qdrant-a-comprehensive-guide-caa366091dd6 Code : https://gist.github.com/RGGH/f78abe9f4e5f19493bba113d5fe816d4 Public Datasets For Recommender Systems: https://github.com/caserec/Datasets-for-Recommender-Systems?tab=readme-ov-file#public-datasets-for-recommender-systems Using Python to Build Recommenders: https://realpython.com/build-recommendation-engine-collaborative-filtering/#using-python-to-build-recommenders If you want a fast VPS server with Python installed check out : https://webdock.io/en?maff=wdaff--170 #qdrant #recommendation #ai