A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Perform common file preview and editing via the web.

Toolkit for linearizing PDFs for LLM datasets/training

Spec-driven development for AI coding assistants.

Virtual whiteboard for sketching hand-drawn like diagrams

💸 An app created to help users manage a budget and purchases

The JHipster Mini-Book

Easy to maintain open source documentation websites.

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.

Neo4j graph construction from unstructured data using LLMs

A community-supported supercharged version of paperless: scan, index and archive all your physical documents

Neo4j GraphRAG for Python

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,…

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured …

PDF to Markdown with vision models

Python tool for converting files and office documents to Markdown.

🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM.

MkDocs i18n plugin using static translation markdown files

This plugin adds useful UI improvements to RedMica.

AI-powered dictation tool

Project documentation with Markdown.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

Data processing with ML and LLM