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Master RAG, Embeddings, Chunking & Vectors
Instructor: NILESH BIPIN GORADIALanguage: English
Description:
This course is designed to be a comprehensive guide for beginners on their journey through RAG (Red, Amber, Green) rating system, embeddings, chunking, and the basics of vector database. You will learn the fundamentals of each concept, their applications, and how to utilize them efficiently.
Module 1: Introduction to RAG
Module 2: Foundations of Large Language Models (LLMs)
Module 3: What is Retrieval in RAG?
Module 4: Architecture of RAG Systems
Module 5: Embeddings & Vector Databases
Module 6: Building Your First RAG Pipeline
Module 7: Tools & Frameworks (LangChain, LlamaIndex, etc.)
Module 8: Use Cases of RAG
Module 9: Challenges & Best Practices
Module 10: Future of RAG & Advanced Concepts
Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.
Our curriculum is designed by experts to make sure you get the best learning experience.
Interact and network with like-minded folks from various backgrounds in exclusive chat groups.
Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.
With the quizzes and live tests practice what you learned, and track your class performance.
Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.
