Beyond Vector Search: Mastering Contextual Retrieval for LLMs

Beyond Vector Search: Mastering Contextual Retrieval for LLMs Retrieval-Augmented Generation (RAG) has become the gold standard for grounding LLMs in proprietary data. However, the 'naive RAG' approach—chunking documents and performing simple cosine similarity—is failing to scale for complex enterprise needs. The Problem: The 'Lost in the Middle' Phenomenon LLMs struggle when relevant information is buried in long, noisy context windows. Simple vector retrieval often pulls 'top-k' results that m