Advanced RAG Engineering: Build Production-Ready RAG Systems at Scale
🚀 Master Retrieval-Augmented Generation (RAG) for production environments.
This 13-part series breaks down exactly what changes when RAG moves from demo to enterprise scale. Learn ingestion pipelines, hybrid search, two-stage retrieval, guardrails, hallucination control, and full-stack architecture — with real code examples.
🔑 What you'll learn:
✅ Scale RAG to millions of documents
✅ Handle PDFs, tables, images & code with docling
✅ Chunking strategies that preserve semantic meaning
✅ Hybrid search: BM25 + Vector + RRF fusion
✅ Two-stage retrieval with BGE-v2 reranking
✅ Guardrails: ShieldGemma, LlamaGuard, prompt injection defense
✅ Detect & correct hallucinations with HHEM
✅ Build a production RAG pipeline end-to-end
💻 Code samples: Python, LangChain, Weaviate, SentenceTransformers, FlagEmbedding
📚 Based on "Advanced RAG: Tech Lead Series" (O'Reilly 2025)
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💬 Drop your RAG challenges in the comments — I read every one.
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