Quick Guide & Tips

💻   Accessing Utils File and Helper Functions

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.

💻   Downloading Notebooks

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Download as"

3:   Then, click on "Notebook (.ipynb)"

💻   Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.

📗   See Your Progress

Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).

📱   Features to Use

🎞   Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed.

🗣   Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

🔅   Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality, choose the quality that works the best for your Internet speed.

🖥   Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

√   Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.

🧑   Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

🧑   Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

📅   Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

☕   Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

💬   Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

✍   Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.

📚   Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇

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🙂   Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum

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Welcome back!

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We'd like to know you better so we can create more relevant courses. What do you do for work?

DeepLearning.AI
Short CourseBeginner38 mins

JavaScript RAG Web Apps with LlamaIndex

Instructor: Laurie Voss

LlamaIndex logo
  • Beginner
  • 38 mins
  • 6 Video Lessons
  • 4 Code Examples
  • Instructor: Laurie Voss
    • LlamaIndex
    LlamaIndex

What you'll learn

  • Learn how to build a RAG application in JavaScript, and use an intelligent agent that discerns and selects from multiple data sources to answer your queries.

  • Build a full-stack web app with an interactive frontend component that interacts and chats with your data.

  • Learn how to persist your data, enable chatting with your data and make streaming responses possible, all implemented using the create-llama command-line tool.

About this course

Get started building full-stack RAG web applications. This course introduces the basics of Retrieval Augment Generation (RAG), including its practical implementation with JavaScript. You’ll assemble an intelligent agent capable of running its own queries. This course will guide you through the process of building a full-stack JavaScript web application, from the API server to a React component that queries your data. You’ll also learn to develop persistent chat that streams your answers to an interactive front-end in real time.

Learn from Laurie Voss, VP of developer relations at LlamaIndex, web developer and the co-founder of npm, the central registry of JavaScript packages.

In this course:

  • Learn to build a RAG application in JavaScript for querying your own data.
  • 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 that allow you to interact with your data using LlamaIndex.

Who should join?

Anyone who has basic JavaScript knowledge who wants to explore RAG application development and to quickly build a full-stack web application using LlamaIndex!

Course Outline

6 Lessons・4 Code Examples

  • Introduction

    Video・2 mins

  • Getting started with RAG

    Video with Code Example・8 mins

  • Build a full-stack web app

    Video with Code Example・14 mins

  • Advanced queries with Agents

    Video with Code Example・7 mins

  • Production-ready techniques

    Video with Code Example・6 mins

  • Conclusion

    Video・1 min

  • Quiz

    Graded・Quiz

    ・10 mins

Instructor

Laurie Voss

Laurie Voss

Course access is free for a limited time during the DeepLearning.AI learning platform beta!

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