Advanced RAG

After this skill you can…

• Build a hybrid BM25 + dense retrieval pipeline
• Add a cross-encoder reranker
• Implement HyDE and query expansion

Prerequisites

Watch (10 videos)

Advanced RAG Patterns

Coursera · intermediate hands-on

→ Build robust RAG pipelines for complex queries→ Improve reliability and accuracy of AI models

Advanced RAG 01: Small-to-Big Retrieval with LlamaIndex

Sophia Yang (AI) · advanced hands-on

→ Implement Small-to-Big Retrieval→ Use LlamaIndex for RAG→ Apply Sentence Window Retrieval

Toy Augmented Generation Project to a Production-Ready AI System

codebasics · beginner hands-on

→ Develop a production-ready RAG system→ Deploy a RAG model to the cloud

LLMOPS 02: RAG Analysis & Evaluation Strategy Part-2 | Advanced RAG Pipeline in LLMOPS

Sunny Savita · intermediate hands-on

→ Build a RAG pipeline with LLMOPS→ Deploy a GenAI Document Chat System to AWS ECS

Advanced RAG 06 - RAG Fusion

Sam Witteveen · beginner hands-on

→ Apply reciprocal rank fusion→ Combine search queries

[Graph Neural Nets] Breaking Symmetry Bottlenecks: How Projector-Based Readouts Supercharge GNNs.

AI Podcast Series. Byte Goose AI. · advanced hands-on

→ Implement projector-based readouts→ Supercharge GNNs

Self-RAG Tutorial: How to Make Your AI Fact-Check Itself | Advanced RAG | CampusX

CampusX · beginner hands-on

→ Implement Self-RAG in RAG systems→ Improve fact-checking in AI models

Advanced Agentic RAG And Its Types New Series-Generative AI

Krish Naik · advanced hands-on

→ Build advanced RAG models→ Implement agentic RAG

Advanced RAG: How Corrective RAG (CRAG) Solves Traditional RAG Problems | CampusX

CampusX · intermediate hands-on

→ Implement CRAG to improve RAG response quality→ Evaluate retrieval quality in RAG systems

Advanced RAG 05 - HyDE - Hypothetical Document Embeddings

Sam Witteveen · beginner hands-on

→ Implement HyDE for document embeddings→ Use RAG for information retrieval→ Build agents with LLMs