Choosing the right PDF parser for Retrieval-Augmented Generation (RAG) systems is crucial to ensure accurate data extraction. RAG systems rely on high-quality, structured data to generate accurate outputs, but PDFs present significant challenges due to their complex layouts, embedded images, and hard-to-extract data. The best PDF parsers are those that can handle multi-column layouts, tables, and images with precision, while also maintaining the original document's structure. Selecting a parser that excels in text extraction accuracy, preserves layout integrity, and integrates easily with RAG frameworks is essential for reliable outputs. Advanced solutions like Optical Character Recognition (OCR) can enhance PDF parsing, but it's crucial to evaluate specific needs and choose a parser that aligns with objectives.