Rag is by far best way to stop the crazies. Himanshu Agarwal
🚀 I Built a Complete RAG Learning Path for SDETs Follow Himanshu Agarwal Most engineers jump directly into LangChain, Pinecone, or AI Agents. Big mistake. Without understanding how Retrieval-Augmented Generation actually works, you're just connecting tools without understanding the architecture. That's exactly why I created the RAG for SDETs Pack. Inside the bundle: ✅ RAG-Powered Test Automation: End-to-End Playbook ✅ RAG for SDETs: From Embeddings to Test Coverage ✅ The RAG Testing Bible: Chunking, Retrieval & Evaluation ✅ RAG Evaluation Metrics Every SDET Must Know ✅ Vector Databases for QA: Pinecone, Weaviate & ChromaDB ✅ Testing RAG Pipelines: A Step-by-Step Framework ✅ 108 RAG Interview Questions & Answers for SDETs Topics covered: • Embeddings & Vector Search • Chunking Strategies • Retrieval Optimization • Context Engineering • Hallucination Reduction • RAG Evaluation Frameworks • DeepEval, RAGAS & Metrics • Pinecone, Weaviate, ChromaDB • AI Testing for RAG Systems • Enterprise Architecture Patterns Perfect for: → QA Engineers → Automation Engineers → SDETs → Test Architects → AI Testing Engineers → GenAI Professionals If you're building your transition from traditional testing into AI Engineering, RAG is one of the highest ROI skills you can learn in 2026. Comment "RAG" and I'll share the full bundle link. Follow me for daily content on: AI Testing • RAG • MCP • AI Agents • Agentic AI • LLMOps #RAG #AITesting #SDET #GenAI #AIEngineering #LLMOps #QAAutomation #PromptEngineering #MachineLearning #SoftwareTesting