Parsing PDFs and documents in RAG is essential for extracting meaningful information that enhances retrieval and generation accuracy. Many valuable insights are locked in unstructured formats, requiring efficient text extraction and structuring. Proper parsing ensures that text, tables, and metadata are accurately captured, improving searchability and relevance. Chunking techniques help break large documents into retrievable units, optimizing context retrieval for language models. Additionally, handling scanned documents with OCR ensures no information is lost. Effective parsing bridges the gap between raw data and intelligent retrieval, making AI-powered systems more reliable for answering domain-specific queries. Here is the best way to parse PDF in RAG (2025): https://lnkd.in/eGze49Zi
