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Evidence-First RAG: Validating LLM Citations in Application Code
This article explains how an evidence-first RAG design keeps citation validation in the application layer, ensuring that generated citations can be traced back to the evidence selected before generation. Key Takeaways This article is the final part…
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Vector-Only vs Hybrid Retrieval for Science and Technology Books
This article examines when vector-only retrieval is enough for science and technology books, and when useful evidence can be missed. RAGLibrarian adds complementary retrieval methods, fuses their ranked candidates with hybrid RRF, and benchmarks whether extra retrieval…
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How to Improve RAG Retrieval with Chapter-Aware Chunking in Go
The article explains how chapter-aware chunking can improve retrieval quality in RAG systems that use science and technology books as source material. In particular, it describes the implementation of RAGLibrarian – a custom Go-based page window chunker…
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MCP for Business: Building Adaptable AI Agents
This article explains how Model Context Protocol helps businesses build flexible AI agents by connecting them to company data, APIs, and workflows through a standardized interface. Key Takeaways: What is MCP and Why Does it Matter for…
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