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RAG Systems from Prototype to Production

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A practical book about retrieval-augmented generation systems. It covers document ingestion, chunking, embeddings, vector search, hybrid search, reranking, prompt grounding, citations, evaluation, safety, cost, and production operations. Read each chapter with a small project in mind. The examples are intentionally practical: adapt them, test the failure cases, and keep notes about trade-offs.
Level: advancedLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: What RAG Solves02Chapter 2: Documents Chunks and Metadata03Chapter 3: Embeddings and Similarity Search04Chapter 4: Vector Databases and Index Design05Chapter 5: Chunking Strategies06Chapter 6: Hybrid Search and Filtering07Chapter 7: Reranking and Context Compression08Chapter 8: Citations and Grounded Answers09Chapter 9: Building a RAG Evaluation Set10Chapter 10: Measuring Retrieval and Answer Quality11Chapter 11: Handling Missing or Conflicting Context12Chapter 12: Prompt Injection and Data Leakage Risks13Chapter 13: Ingestion Pipelines and Reindexing14Chapter 14: Latency Cost and Caching15Chapter 15: Monitoring Feedback and Human Review16Chapter 16: Capstone Support Knowledge Base Assistant17Appendix A: Architecture Checklist18Appendix B: Operational Playbook19Appendix C: Common Mistakes and Fixes20Appendix D: Capstone Project Guide
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