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Production RAG Engineering: From Document Ingestion to Continuous Evaluation Series' Articles

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James Lee

Jun 18

I Shipped a Strict-Source RAG System to Production in 8 Weeks: A Full-Stack Engineering Retrospective

#showdev #ai #rag #softwareengineering

4 min read

James Lee

Jun 18

Part 1 — How Do Unstructured Documents Become a Searchable Knowledge Base? Five Key Engineering Decisions in the Ingestion Pipeline

#ai #architecture #dataengineering #rag

9 min read

James Lee

Jun 18

Part 2 — Why Does One System Need Three Chunking Strategies? And One Document Type Shouldn't Be Chunked At All

#ai #architecture #llm #rag

9 min read

James Lee

Jun 18

Part 3 — Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

#ai #architecture #nlp #rag

10 min read

James Lee

Jun 18

Part 4 — High Semantic Similarity Correct Business Conclusion: A Three-Layer Judgment Engine from Retrieval to Quantifiable Decisions

#ai #architecture #llm #rag

10 min read

James Lee

Jun 18

Part 5 — Installing a Black Box Recorder in Your RAG System: 4-Layer Metadata + 3-Level Verification, Root Cause in 5 Minutes

#ai #architecture #monitoring #rag

9 min read

James Lee

Jun 18

Part 6 — RAG Recall Quality from 60% to 93%: Building a Continuous Evaluation Loop (Not Gut Feeling)

#llm #performance #rag #softwareengineering

10 min read