RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
Feb 17, 2025 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Get your documents ready for gen AI
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Knowledge Agents and Management in the Cloud
ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
Table structure recognition dataset of the paper: Complicated Table Structure Recognition
🏭 PDF text extraction pipeline: self-hosted, local-first, Docker-based
PDF text data extraction web app with OCR for scanned documents
Sample code for the Datalogics C++, Java, and .NET interfaces of the Adobe PDF Library
cli for extracting text from PDF files (and maybe possibly tables)
OCR library to extract text & tables from PDF files and images. Convert any image or PDF to CSV / TXT / JSON / Searchable PDF.
C# and VB.NET samples for Docotic.Pdf library
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.
Standalone .NET Converter library, not require Adobe Acrobat component nor Microsoft Office Interop Assemblies, to convert PDF, DOCX, XLSX, HTML, Image, CSV, RTF, TXT in .NET framework
A Python package for converting PDFs to markdown while extracting images and tables, generate descriptive text descriptions for extracted tables/images using several LLM clients. And many more functionalities. Markdrop is available on PyPI.
The code base of the front-end of nocodefunctions.com
Batch-convert pdf to text, extract data from pdf in python
Simple pdf to text with python using PDFtk and PyPDF2
[Eng] API for obtaining data from the Tide Table, using web scraping. [Pt-Br] API para Obtenção da Tábua de Maré diária, usando web scraping com PHP.
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