RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Get your documents ready for gen AI

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Knowledge Agents and Management in the Cloud

Improved file parsing for LLM’s

A Repo For Document AI

Parse PDFs into markdown using Vision LLMs

Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing

Tutorial on how to deskew (straighten) text images

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.

The invoice, document, and resume parser powered by AI.

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

DF Extract Lib

Python client library for Graphlit Platform

Extract text from your DOCX documents.

Dr.Parser 🩸📊 – AI-powered blood report parser that extracts and analyzes medical data from images/PDFs. Built with React, FastAPI, EasyOCR, and Gemini AI. 🚀 🔹 Local Setup Available | 🔹 Future Enhancements Planned | 🔹 Hackathon Project 👉 Clone, run, and explore the future of AI-driven healthcare!

An AI-powered resume evaluation app that compares a candidate’s resume with a job description using Google’s Gemini 1.5 Flash model to provide HR-style feedback and an ATS-style match scoring through a simple and interactive Streamlit interface.

Supercharge your AI workflows by combining Anyparser’s advanced content extraction with Crew AI. With this integration, you can effortlessly leverage Anyparser’s document processing and data extraction tools within your Crew AI applications.

Your ultimate tool for effortlessly converting and parsing documents into clean, well-structured Markdown—fast, reliable, and 100% local! 💻✨

Preprocess document service for RAG (Retriveal Augumented Generation)