Part 08 — RAG (Retrieval Augmented Generation)

🎯 What You'll Learn

• ✅ Chunking strategies (300 chars, 50 overlap)
• ✅ Embeddings with Nomic + Ollama
• ✅ ChromaDB, Qdrant vector stores
• ✅ Hybrid search with metadata filters

📂 Code Location

QE-AI-Track/Part_08

🚀 Quick Start

git clone https://github.com/shinuailabs/ShinuAILabs-MasteryHub.git
cd ShinuAILabs-MasteryHub/QE-AI-Track
# Navigate to the corresponding Part_ folder

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