RAGFlow

Specialized retrieval tool for RAG in LLM apps using ColBERT late-interaction for token-level matching, integrable with vector stores like FAISS for high-precision retrieval and reranking.

Deep document parsing platform with strong OCR capabilities excelling at extracting structured data from complex layouts including multi-column PDFs, scanned documents, and forms.

Open-source tool by VectifyAI for pagewise document indexing that converts PDF pages into image representations for downstream multimodal embedding and retrieval. Designed to support late-interaction-based retrieval approaches like ColPali by preserving original document layout and visual structure.

A compound AI system for parsing, chunking, enriching, and storing unstructured documents at scale, trained on 80k+ enterprise documents and delivering up to 6x better accuracy and 5x cost savings compared to alternative systems.

Open-source document parsing framework from IBM with 97.9% accuracy in complex table extraction and excellent text fidelity. Self-hostable solution for converting PDFs, spreadsheets, and scanned images into structured data for RAG pipelines.

High-performance document parsing service by LlamaIndex that consistently processes documents in about 6 seconds regardless of size. Returns rich Markdown and optional HTML tables with wide format support through hosted API.