LLM Interviews / Complete Special Topic on RAG (Retrieval-Augmented Generation)
A full collection of 14 special-topic PDFs on RAG (Retrieval-Augmented Generation) for LLM interviews. Covers RAG fundamentals (why an external knowledge base is needed / the R/A/G three modules) + LangChain RAG hands-on practice + large model external knowledge bases + RAG experience-based interview questions + PDF parsing + table recognition + text chunking + large model-assisted recall (HYDE) + hard negative sample mining + RAG evaluation + RAG optimization strategies + key pain points of RAG + RAG-Fusion + Graph RAG + 8 optimizations for long-term memory in multi-turn conversations