Chapter 0.1 - Course Index

Welcome to the complete, step-by-step architecture breakdown of Retrieval-Augmented Generation (RAG)! Below is the structured index of all course modules:

Course Repository

All the code, notebooks, and materials for this course can be found on our official GitHub repository: hashcodes7/RAG-Architecture-End-to-End

Chapter 0: Index

• ○Course Index
• ○Architecture Ingredients
• ○QnA

Chapter 1: Pre Requisites and Foundation

• ○Core Concepts
• ○QnA and Interview Questions

Chapter 2: Ingestion

• ○Multi Format Parsing
• ○Structured Extraction

Chapter 3: Chunking Strategies

• ○Recursive Chunking
• ○Semantic Chunking

Chapter 4: Hybrid Indexing

• ○Vector Embeddings (FAISS)
• ○Keyword Search (BM25)

Chapter 5: Retrieval Fusion and Reranking

• ○Two Stage Retrieval
• ○Reciprocal Rank Fusion
• ○Cross Encoder Reranking

Chapter 6: Generation and Guardrails

• ○Small Talk Routing
• ○Prompt Grounding

Chapter 7: Persistence

• ○SQLite Chat History
• ○User Authentication