Building a Graph-based Recommendation System with Milvus, PinSage, DGL, and MovieLens Datasets

This post details the integration of Milvus as a vector database within a graph-based recommendation system. It outlines the process of using PinSage and DGL to generate movie embeddings from the MovieLens dataset, loading these embeddings into Milvus for storage and indexing, and then performing vector similarity searches to retrieve similar movie information. The post also touches upon data preprocessing and the general workflow of building such a system.