TrueschoTruescho
All Courses
Build RAG Applications: Get Started
Coursera
Course
Unknown

Build RAG Applications: Get Started

IBM

Learn fundamentals of Retrieval-Augmented Generation (RAG) and build interactive applications using tools like LangChain and LlamaIndex to enhance search and user interaction.

Unknown3 weeksEnglish

About this Course

Data Scientists, AI Researchers, Robotics Engineers, and others who can use Retrieval-Augmented Generation (RAG) can expect to earn entry-level salaries ranging from USD 93,386 to USD 110,720 annually, with highly experienced AI engineers earning as much as USD 172,468 annually (Source: ZipRecruiter). In this beginner-friendly short course, you’ll begin by exploring RAG fundamentals—learning how RAG enhances information retrieval and user interactions—before building your first RAG pipeline.

What You'll Learn

  • Develop practical understanding of Retrieval-Augmented Generation (RAG)
  • Design user-friendly interactive interfaces for RAG applications with Gradio
  • Learn about LlamaIndex, its uses, and contrast with LangChain
  • Build RAG applications using LangChain and LlamaIndex in Python

Instructors

W

Wojciech 'Victor' Fulmyk

I

IBM Skills Network Team

Topics

Jupyter
Vector Databases
Retrieval-Augmented Generation
LLM Application
Embeddings

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Jupyter
قواعد بيانات متجهية
التوليد المعزز باسترجاع البيانات
تطبيقات النماذج اللغوية الكبيرة
التمثيلات المضمنة

Start Learning Now