Decoding Vector Search and Embeddings for React Developers

This talk is confirmed. The time of the talk will be announced soon.

The recording will be published after editing. Multipass and Full ticket holders have early access.

In this talk we'll break down key Generative AI concepts like Vector Search and Vector Embeddings and how can React Developers leverage them with technologies like LangChainJS to build intuitive AI powered apps. We will discuss different AI enabled search experiences like vector and hybrid search approaches, exploring how each method works, their advantages and disadvantages, and practical use cases.

The talk will break down what can be overly complex concepts into practical takeaways for our everyday work as React/JavaScript developers. By the end of the session you'll have a better understanding of when and how to use different search techniques to optimize your user experience. Most importantly you will also learn how as a React developer we use can use these search techniques using open source tooling and libraries including some powerful search engines written in TS/JS and create AI powered applications in React.

This talk has been presented at React Day Berlin 2024, check out the latest edition of this React Conference.

artificial intelligence

Shivay Lamba

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