Get an introduction to machine learning using Aiven services and the Hugging Face API to recommend movies based on Wikipedia synopses. We'll build a project that uses vector search to find the perfect movie based on user input.

We'll use ClickHouse®, a fast open-source column-oriented database, which already supports built-in vector comparison capabilities. To visualize our results, we'll rely on Next.js and to we'll get vector embeddings using some free tools and a HuggingFace model.

Check out these resources to learn more:
(links to any tools or resources you used in the video, our docs/trial if appropriate)

To create your Aiven account : https://go.aiven.io/sebi-signup
https://aiven.io/developer/movie-recommender-clickhouse-huggingface-nextjs

Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you.

It
provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology. We like to think that Aiven is not only a cloud data platform but also an extension of your team.

We are dedicated to helping you to succeed by removing barriers and finding the right solutions – with the help of the best data technology there is.

CONNECT WITH US
Website: http://aiven.io​​​
LinkedIn: /aiven​​​
GitHub: https://github.com/aiven​​​