Retrieval (RAG) — Course Notes

These notes follow the Ultimate RAG Bootcamp section-by-section, so each note maps to exactly what's taught in the course. I'm writing them up in my own words as I go, with the key ideas, the code I understand, and the gotchas.

Progress: Sections 1–16 studied + 19, 20, 24–26 added — foundations through vector stores, advanced chunking, hybrid search, query enhancement, multi-modal RAG, LangChain v1, LangGraph basics, ReAct agents architecture, agentic RAG, corrective RAG, adaptive/self-RAG, guardrails, LLM gateways, and evaluation. Remaining sections coming soon.

Course progress~72% · 21 / 29 sections

Course progress tracker

#	Section	Status
1	Introduction	✅ Done
2	Introduction to RAG	✅ Done
3	Core Components in RAG	✅ Done
4	VS Code & Anaconda Installation	✅ Done
5	Data Ingestion & Data Parsing Techniques	✅ Done (10/10)
6	Vector Embedding & Vector Databases	✅ Done (5/5)
7	Vector Stores & Vector Databases	✅ Done (13/13)
8	Advanced Chunking & Preprocessing	✅ Done (4/4)
9	Hybrid Search Strategies	✅ Done (8/8)
10	Query Enhancement	✅ Done (4/4)
11	Multi-Modal RAG	✅ Done (2/2)
12	Getting Started with AI Agents & Agentic AI	⏳ Notes pending
13	Updated LangChain Hands-On (v1)	✅ Done
14	LangGraph Basics	✅ Done (16/16)
15	Agents Architecture	✅ Done (6/6)
16	Agentic RAG	✅ Done (6/6)
17	Autonomous RAG	🔲 Soon
18	Multi-Agent RAGs	🔲 Soon
19	Corrective RAG	✅ Done
20	Adaptive RAG & Self-RAG	✅ Done
21	RAG with Persistent Memory	🔲 Soon
22	Cache RAG with LangGraph	🔲 Soon
23	VectorLess RAG with PageIndex	🔲 Soon
24	Guardrails	✅ Done
25	LLM Gateways	✅ Done
26	Chatbot & RAG Evaluation	✅ Done
27	Graph Databases & Cypher with LangChain	🔲 Soon
28	Practical GraphDB with LangChain	🔲 Soon
29	End-to-End RAG Document Search Project	🔲 Soon

What's live now

• Section 1 · Introduction
• Section 2 · Introduction to RAG
• Section 3 · Core Components in RAG
• Section 4 · VS Code & Anaconda Setup
• Section 5 · Data Ingestion & Parsing
• Section 6 · Vector Embedding & Vector Databases
• Section 7 · Vector Stores & Vector Databases
• Section 8 · Advanced Chunking & Preprocessing
• Section 9 · Hybrid Search Strategies
• Section 10 · Query Enhancement
• Section 11 · Multi-Modal RAG
• Section 13 · Updated LangChain (v1) Hands-On
• Section 14 · LangGraph Basics
• LangChain vs LangGraph vs LangSmith vs Langflow
• Section 15 · Agents Architecture
• Section 16 · Agentic RAG
• Section 19 · Corrective RAG (CRAG)
• Section 20 · Adaptive RAG & Self-RAG
• Section 24 · Guardrails
• Section 25 · LLM Gateways
• Section 26 · Chatbot & RAG Evaluation

Next: Section 1 · Introduction →