Build RAG Applications with LlamaIndex and JavaScript
Build RAG Applications with LlamaIndex and JavaScript
Build, Optimize, and Deploy Custom Data Engines Using LLMs, Advanced Selection Techniques, and RAG in JavaScript
Product Brand: Udemy
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Udemy Coupon Code for Build RAG Applications with LlamaIndex and JavaScript Course. Build, Optimize, and Deploy Custom Data Engines Using LLMs, Advanced Selection Techniques, and RAG in JavaScript
Created by Paolo Dichone | 3 hours on-demand video course
LlamaIndex Course Overview
Build RAG Applications with LlamaIndex and JavaScript
Unlock the power of Retrieval-Augmented Generation (RAG) and elevate your data-driven applications to the next level with this hands-on course on building RAG applications using JavaScript and LlamaIndex.
Whether you’re a developer, data scientist, or AI enthusiast, this course will equip you with the skills to design, implement, and optimize advanced query engines that seamlessly integrate Large Language Models (LLMs) into your JavaScript applications.
In this course, you’ll dive deep into the world of LlamaIndex, a powerful framework for creating custom, modular data engines. You’ll learn how to leverage RAG techniques to build applications that retrieve and process data efficiently and generate contextually relevant responses. With a focus on real-world applications, this course will guide you through the entire process, from setting up your development environment to deploying your RAG-powered applications.
What you’ll learn
- Master the Fundamentals of LlamaIndex: Students will master the core concepts of LlamaIndex, including its key components such as RouterQueryEngine
- Design and Implement Custom Query Engines: You will design and implement custom query engines using LlamaIndex.
- Create and Integrate Modular Tools: Students will create and integrate modular tools within LlamaIndex.
- Develop Agents and Tools that can Intelligently do Tasks Autonomously
- Build a Full-stack Web Chat App with one Single CLI Command
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