structured-data

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Fast and Accurate ML in 3 Lines of Code

The programming language for agents

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505

学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

Get clean data from tricky documents, powered by vision-language models ⚡

Parse partial JSON generated by LLM

Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.

Parse partial JSON generated by LLM

Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

Turn documents into structured JSON with local-first document AI. Run 100% locally by default, with API, CLI, and Web UI.

Extract structured data from documents, images, audio, and video using LLMs in Python

Llama 3.2 fine-tuned on a medical dataset for improved healthcare-specific understanding and tasks.