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New course with LlamaIndex: JavaScript RAG Web Apps with LlamaIndex
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DeepLearning.AI Courses - New course with LlamaIndex: JavaScript RAG Web Apps with LlamaIndex

5.0 (2)
18 learners

What you'll learn

This course includes

  • 5.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Enroll now: https://bit.ly/3TrTMK6 Introducing JavaScript RAG Web Apps with LlamaIndex, a new short course built in collaboration with LlamaIndex and instructed by Laurie Voss, VP of developer relations at LlamaIndex, and the co-founder of npm, the central registry of JavaScript packages. This course will guide you through the process of building full-stack retrieval augment generation (RAG) applications in JavaScript, from the API server to a React component that queries your data. You’ll assemble an intelligent agent capable of running its own queries and learn to develop a persistent chat that streams your answers to an interactive front-end in real time. In this course: - Develop tools to interact with multiple data sources using a router query engine that intelligently selects the right tool for your queries. - Build a full-stack web application step by step, starting with a backend web app and progressing to an interactive React frontend that calls your API to display query results. - Learn about production-ready techniques, including persisting your data, chatting with your data, and streaming responses for multiple queries. - Create a user-friendly web app that can chat with data using the create-llama command line tool from LlamaIndex. Start building RAG web applications in JavaScript and sharing demos quickly! Learn more: https://bit.ly/3TrTMK6

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