Why Most RAG Pipelines Fail on Technical Manuals – And How Semantic Chunking Fixes Them
Retrieval-augmented generation (RAG) has moved from prototype to production in many enterprises. The pitch is simple: index your PDFs, wire them to a large language model (LLM), and you have an intelligent interface to corporate knowledge. Yet in engineering-heavy domains—industrial… Read More »Why Most RAG Pipelines Fail on Technical Manuals – And How Semantic Chunking Fixes Them