Building Robust RAG Pipelines: Orchestrating OCR, Layout Analysis, and Smart Chunking
Retrieval-Augmented Generation (RAG) has become the backbone of enterprise AI applications, allowing Large Language Models (LLMs) to ground their responses in proprietary, up-to-date documentation. However, the performance of a RAG system is only as good as the quality of its underlying knowledge...