Introduction to Retrieval Augmented Generation (RAG)
Learn to build RAG applications using LLMs, LangChain, and Vector Databases. Master prompt engineering, embeddings, and chatbots for real-world automation.
Segment 01: Introduction and Welcome
Segment 02: Understanding Large Language Models
Segment 03: Extracting responses from LLMs using Prompts and Context
Segment 04: Optimize your LLM Requests
Segment 05: Understanding Retrieval Augmented Generation (RAG) Applications
Segment 06: Using Lang Chain Framework in RAG Applications
Segment 07: Using Vector Databases as Embedding storage for RAG Application
Segment 08: Develop an Invoice Parsing RAG
Segment 09: Create an HR Policy ChatBot - Groundwork
Segment 10: Create a HR Policy ChatBot - UI and RAG
Segment 11: Congratulations and Continuous Learning Journey