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Enterprise Advanced RAG with Hybrid Search, ReRanking, HyDE, CRAG, Self-RAG, Text2SQL, Caching and Guardrails in LangGraph

Build a production-grade Enterprise RAG system for Kubernetes IT operations using LangGraph, FastAPI, Qdrant, PostgreSQL, Redis caching, and advanced retrieval patterns. Learners start from baseline RAG, then add hybrid search, reranking, HyDE, CRAG, Self-RAG, Text2SQL with human approval, evaluation, and a 9-layer guardrails pipeline.

39 lectures

What You Will Learn

Advanced RAG design
hybrid search
reranking
HyDE
CRAG
Self-RAG
Text2SQL
LangGraph orchestration
caching
evaluation
guardrails

System Architecture

Enterprise Advanced RAG with Hybrid Search, ReRanking, HyDE, CRAG, Self-RAG, Text2SQL, Caching and Guardrails in LangGraph Architecture Diagram

High-level architecture overview of the Enterprise Advanced RAG with Hybrid Search, ReRanking, HyDE, CRAG, Self-RAG, Text2SQL, Caching and Guardrails in LangGraph .

What You'll Build

  • A production-grade Kubernetes SRE copilot with FastAPI, LangGraph, Qdrant retrieval, PostgreSQL Text2SQL, Redis caching, Streamlit UI, Ragas evals, and security layers.

Project Instructor

Yash Patil

Yash Patil

2+ years exp
LinkedIn
Enterprise Advanced RAG with Hybrid Search, ReRanking, HyDE, CRAG, Self-RAG, Text2SQL, Caching and Guardrails in LangGraph
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