This story was originally published on HackerNoon at: https://hackernoon.com/how-to-use-vector-search-to-build-a-movie-recommendation-app.
Learn how to build a semantic movie recommendation app using ScyllaDB’s vector search to find films by meaning, not just keywords.
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ScyllaDB’s new Vector Search lets developers build semantic search apps that understand meaning, not just text. This tutorial shows how to create a movie recommendation app using Sentence Transformers, Python, and Streamlit. It covers schema design, vector indexing, and ANN-based querying for fast, intelligent recommendations.