Semantic Search - Movies

Learn about fundamental concepts of Superlinked.

Finding out what to watch is tough choice mainly because of the abundance of options and the scarcity of time. Let's follow a data-driven approach to arrive at a decision!

In our dataset of movies, we know the

• description,

• genre

• title

• and the release_year of the movie.

Putting together a vector index on top of these embedded inputs will create a space where we can search semantically to find our movie choice for tonight.

We are going to browse the movies

• searching with an idea (heartfelt romantic comedy)

• tweak around the results giving more imporance to matches in certain input fields

• search in description, genre and title with different search terms for each

• and after finding a close enough movie (that is not quite it), search around utilizing that one, too

Follow along in this Colab

Google Colab