genai.college · Learn · Leagues · Advertise

Module 2 of 8

Basics of NLP and RAG

Ground model answers in your own documents. Learn how text becomes vectors, how vector search works, and how to build Retrieval-Augmented Generation pipelines.

1. Introduction to RAG & Text Representation
2. Building Blocks of RAG
3. Vector Databases
4. Building a Basic RAG Pipeline
5. RAG using LangChain and LlamaIndex
6. Advanced RAG Topics

About · Contact · Privacy · Terms