Advanced RAG
Implement hybrid search, reranking, HyDE, and query routing for production RAG.
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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 01: Small-to-Big Retrieval with LlamaIndex
→ Implement Small-to-Big Retrieval→ Use LlamaIndex for RAG→ Apply Sentence Window Retrieval
Toy Augmented Generation Project to a Production-Ready AI System
→ 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
→ Build a RAG pipeline with LLMOPS→ Deploy a GenAI Document Chat System to AWS ECS
Advanced RAG Starts Today 🚀 | Day 54/180 AI Engineering Challenge | RAG Series Day 13
→ Build production-grade RAG systems→ Use hybrid search and metadata filtering
LLMOPS 02: Build Multi-Doc Chat with Advanced RAG Part-1| RAG in a Modular Manner (Logger, Config)
→ Build a multi-doc chat with advanced RAG→ Implement a modular approach for RAG pipeline
Forget RAG Pipelines—Build Production Ready Agents in 15 Mins: Nina Lopatina, Rajiv Shah, Contextual
→ Build production-ready RAG pipelines→ Deploy AI-powered agents in minutes
5-Langchain Series-Advanced RAG Q&A Chatbot With Chain And Retrievers Using Langchain
→ Build advanced RAG pipelines→ Create Q&A chatbots with LangChain
Advanced RAG Starts Today 🚀 | Day 52/180 AI Engineering Challenge | RAG Series Day 13
→ Build an advanced RAG pipeline with hybrid search→ Implement metadata filtering in RAG
40 LPA Series Day 60 | Advanced RAG Tutorial | LangChain, ChromaDB & Vector Database Explained
→ Build a RAG pipeline with LangChain and ChromaDB→ Implement vector search and embeddings
Advanced RAG 06 - RAG Fusion
→ Apply reciprocal rank fusion→ Combine search queries
Read (10 articles)
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