Скачать или смотреть Find your perfect movie with ClickHouse®, vector search, Hugging Face API, and Next.js

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-reco...


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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.

Sign up for a free Aiven account: https://go.aiven.io/youtube-signup

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