💡 Quick Answer: What is RAGFlow 2.0 & Document Layout Ingestion?
RAGFlow 2.0 is an open-source Retrieval-Augmented Generation (RAG) engine that uses deep vision model layout parsing to extract complex PDF tables, multi-column text, and mathematical formulas into vector databases without losing context. Convert and process PDF documents online using PDFCraft Pro on AI Innovate Tools.
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Launch PDFCraft Text to PDF →Why Standard RAG Fails on Complex Corporate PDFs
Traditional text chunking splits documents into fixed character lengths, breaking multi-column tables, infographics, and header hierarchies. RAGFlow 2.0 solves this by employing computer vision layout analysis prior to vector embedding.
Deep Vector Database Pipeline Architecture
RAGFlow connects seamlessly with Milvus, Pinecone, Qdrant, and local FAISS vector stores to provide hybrid semantic search and BM25 keyword reranking.
Frequently Asked Questions (FAQ)
Can RAGFlow 2.0 process scanned image-only PDFs?
Yes. RAGFlow includes built-in OCR fallback modules for historical scanned contracts and invoices.
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