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

Video transcription, chapters and summary will be available later.

Check out more articles and videos

We constantly think of articles and videos that might spark Git people interest / skill us up or help building a stellar career

Building a Voice-Enabled AI Assistant With Javascript

JSNation 2023

21 min

Building a Voice-Enabled AI Assistant With Javascript

Top Content

Tejas Kumar

Author of the "Fluent React" bestselling book, software engineer with 23 years of experience, and host of the developer-loved ConTejas Code podcast.

This Talk discusses building a voice-activated AI assistant using web APIs and JavaScript. It covers using the Web Speech API for speech recognition and the speech synthesis API for text to speech. The speaker demonstrates how to communicate with the Open AI API and handle the response. The Talk also explores enabling speech recognition and addressing the user. The speaker concludes by mentioning the possibility of creating a product out of the project and using Tauri for native desktop-like experiences.

case study artificial intelligence

AI and Web Development: Hype or Reality

JSNation 2023

24 min

AI and Web Development: Hype or Reality

Top Content

Wes Bos

Full Stack Developer, Speaker & Teacher, Co-host of Syntax.fm podcast.

This talk explores the use of AI in web development, including tools like GitHub Copilot and Fig for CLI commands. AI can generate boilerplate code, provide context-aware solutions, and generate dummy data. It can also assist with CSS selectors and regexes, and be integrated into applications. AI is used to enhance the podcast experience by transcribing episodes and providing JSON data. The talk also discusses formatting AI output, crafting requests, and analyzing embeddings for similarity.

productivity artificial intelligence

The Rise of the AI Engineer

React Summit US 2023

30 min

The Rise of the AI Engineer

Watch video: The Rise of the AI Engineer

Shawn Swyx Wang

Latent.Space

The rise of AI engineers is driven by the demand for AI and the emergence of ML research and engineering organizations. Start-ups are leveraging AI through APIs, resulting in a time-to-market advantage. The future of AI engineering holds promising results, with a focus on AI UX and the role of AI agents. Equity in AI and the central problems of AI engineering require collective efforts to address. The day-to-day life of an AI engineer involves working on products or infrastructure and dealing with specialties and tools specific to the field.

web development artificial intelligence builders and founders future of development

Web Apps of the Future With Web AI

JSNation 2024

32 min

Web Apps of the Future With Web AI

Jason Mayes

Google

Web AI in JavaScript allows for running machine learning models client-side in a web browser, offering advantages such as privacy, offline capabilities, low latency, and cost savings. Various AI models can be used for tasks like background blur, text toxicity detection, 3D data extraction, face mesh recognition, hand tracking, pose detection, and body segmentation. JavaScript libraries like MediaPipe LLM inference API and Visual Blocks facilitate the use of AI models. Web AI is in its early stages but has the potential to revolutionize web experiences and improve accessibility.

artificial intelligence

Code coverage with AI

TestJS Summit 2023

8 min

Code coverage with AI

Jaap Brasser

Codium

Codium is a generative AI assistant for software development that offers code explanation, test generation, and collaboration features. It can generate tests for a GraphQL API in VS Code, improve code coverage, and even document tests. Codium allows analyzing specific code lines, generating tests based on existing ones, and answering code-related questions. It can also provide suggestions for code improvement, help with code refactoring, and assist with writing commit messages.

artificial intelligence

Building the AI for Athena Crisis

JS GameDev Summit 2023

37 min

Building the AI for Athena Crisis

Christoph Nakazawa

CEO at Nakazawa Tech

Join Christoph from Nakazawa Tech in building the AI for Athena Crisis, a game where the AI performs actions just like a player. Learn about the importance of abstractions, primitives, and search algorithms in building an AI for a video game. Explore the architecture of Athena Crisis, which uses immutable persistent data structures and optimistic updates. Discover how to implement AI behaviors and create a class for the AI. Find out how to analyze units, assign weights, and prioritize actions based on the game state. Consider the next steps in building the AI and explore the possibility of building an AI for a real-time strategy game.

case study artificial intelligence game development builders and founders

Workshops on related topic

AI on Demand: Serverless AI

DevOps.js Conf 2024

163 min

AI on Demand: Serverless AI

Top Content

Featured WorkshopFree

Nathan Disidore

In this workshop, we discuss the merits of serverless architecture and how it can be applied to the AI space. We'll explore options around building serverless RAG applications for a more lambda-esque approach to AI. Next, we'll get hands on and build a sample CRUD app that allows you to store information and query it using an LLM with Workers AI, Vectorize, D1, and Cloudflare Workers.

serverless architecture artificial intelligence

AI for React Developers

React Advanced 2024

142 min

AI for React Developers

Featured Workshop

Eve Porcello

Knowledge of AI tooling is critical for future-proofing the careers of React developers, and the Vercel suite of AI tools is an approachable on-ramp. In this course, we’ll take a closer look at the Vercel AI SDK and how this can help React developers build streaming interfaces with JavaScript and Next.js. We’ll also incorporate additional 3rd party APIs to build and deploy a music visualization app.
Topics:- Creating a React Project with Next.js- Choosing a LLM- Customizing Streaming Interfaces- Building Routes- Creating and Generating Components - Using Hooks (useChat, useCompletion, useActions, etc)

react next.js artificial intelligence

Leveraging LLMs to Build Intuitive AI Experiences With JavaScript

JSNation 2024

108 min

Leveraging LLMs to Build Intuitive AI Experiences With JavaScript

Featured Workshop

2 authors

Today every developer is using LLMs in different forms and shapes, from ChatGPT to code assistants like GitHub CoPilot. Following this, lots of products have introduced embedded AI capabilities, and in this workshop we will make LLMs understandable for web developers. And we'll get into coding your own AI-driven application. No prior experience in working with LLMs or machine learning is needed. Instead, we'll use web technologies such as JavaScript, React which you already know and love while also learning about some new libraries like OpenAI, Transformers.js

machine learning artificial intelligence openai

Llms Workshop: What They Are and How to Leverage Them

React Summit 2024

66 min

Llms Workshop: What They Are and How to Leverage Them

Featured Workshop

2 authors

Join Nathan in this hands-on session where you will first learn at a high level what large language models (LLMs) are and how they work. Then dive into an interactive coding exercise where you will implement LLM functionality into a basic example application. During this exercise you will get a feel for key skills for working with LLMs in your own applications such as prompt engineering and exposure to OpenAI's API.
After this session you will have insights around what LLMs are and how they can practically be used to improve your own applications.
Table of contents: - Interactive demo implementing basic LLM powered features in a demo app- Discuss how to decide where to leverage LLMs in a product- Lessons learned around integrating with OpenAI / overview of OpenAI API- Best practices for prompt engineering- Common challenges specific to React (state management :D / good UX practices)

artificial intelligence openai

Working With OpenAI and Prompt Engineering for React Developers

React Advanced 2023

98 min

Working With OpenAI and Prompt Engineering for React Developers

Top Content

Workshop

Richard Moss

In this workshop we'll take a tour of applied AI from the perspective of front end developers, zooming in on the emerging best practices when it comes to working with LLMs to build great products. This workshop is based on learnings from working with the OpenAI API from its debut last November to build out a working MVP which became PowerModeAI (A customer facing ideation and slide creation tool).
In the workshop they'll be a mix of presentation and hands on exercises to cover topics including:
- GPT fundamentals- Pitfalls of LLMs- Prompt engineering best practices and techniques- Using the playground effectively- Installing and configuring the OpenAI SDK- Approaches to working with the API and prompt management- Implementing the API to build an AI powered customer facing application- Fine tuning and embeddings- Emerging best practice on LLMOps

artificial intelligence openai react and ai

Building AI Applications for the Web

React Day Berlin 2023

98 min

Building AI Applications for the Web

Workshop

Roy Derks

Today every developer is using LLMs in different forms and shapes. Lots of products have introduced embedded AI capabilities, and in this workshop you’ll learn how to build your own AI application. No experience in building LLMs or machine learning is needed. Instead, we’ll use web technologies such as JavaScript, React and GraphQL which you already know and love.

web development artificial intelligence openai