March 20, 2024, 12:48 p.m. | Sebastian Bahr

Towards Data Science - Medium towardsdatascience.com

This tutorial will teach you how to create sparse and dense embeddings and build a recommender system using hybrid search

Photo by Katie Smith on Unsplash

This tutorial provides a step-by-step guide with code on how to create a chatbot-style recommender system. By the end, you will have built a recommender that uses the user’s open-text input to find matching items through a hybrid search on sparse and dense vectors. The dataset used in this tutorial contains recipes. However, you …

build chatbot code deep-dives embeddings guide hybrid hybrid search machine learning naturallanguageprocessing part rag recipe retrieval-augmented search smith step-by-step style the end tutorial vector database will

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