Learning Paths for Technical Professionals

AI Deep Dive: RAG System Mastery

Unlock the power of Retrieval-Augmented Generation (RAG) systems in this comprehensive learning path. Learn advanced techniques in information retrieval, response generation, and data preprocessing, using tools like LlamaIndex and JavaScript. The course covers building and optimizing custom data engines, handling unstructured data with cutting-edge methods such as ViT and hybrid search, and integrating knowledge graphs to enhance RAG applications. By the end of this course, you will master the development, optimization, and deployment of sophisticated RAG systems, enabling more accurate and insightful AI-driven solutions.

Skills:

Master RAG Techniques

Develop RAG Applications

Handle Unstructured Data

Integrate Knowledge Graphs

Deploy RAG Systems

Languages:

English

Duration:

~10 hours 30 mins

Learning objectives

  1. Understand and apply advanced techniques in Retrieval-Augmented Generation for effective information retrieval and response generation.
  2. Build, optimize, and deploy custom data engines using LLMs, advanced selection techniques, and RAG in JavaScript.
  3. Learn to preprocess unstructured data using ViT, metadata, advanced chunking, and hybrid search techniques for RAG applications.
  4. Enhance RAG applications by integrating and utilizing knowledge graphs for more accurate and meaningful data retrieval.
  5. Gain skills in deploying and managing retrieval-augmented generation applications to solve real-world problems effectively.

Target audience

Anyone interested in learning about Retrieval-Augmented Generation (RAG) systems.

Make AI your ally with an AI Starter Path