infiniflow/ragflow
RAGFlow is an open-source Retrieval-Augmented Generation engine that leverages deep document understanding and Large Language Models to provide accurate, citation-backed question-answering from complex and diverse data sources.
Awesome AI Agents › NL AI Frameworks
The project "AI Data Science Team" by business-science is an innovative Python library designed to accelerate common data science tasks by leveraging AI-powered agents. It aims to help data scientists perform tasks up to 10 times faster by automating various stages of the data science workflow. The library is currently in beta and under active development, with potential breaking changes until the release of version 0.1.0. This AI Data Science Team consists of specialized agents that cover a wide range of data science activities including data cleaning, preparation, feature engineering, machine learning modeling, and interpretation of business problems such as churn modeling, employee attrition, lead scoring, insurance risk, and credit card risk. The project also offers multi-agent systems and AI-powered data science applications that enhance productivity and ease of use. Among the notable features are the Data Wrangling Agent, Data Visualization Agent, Data Cleaning Agent, Feature Engineering Agent, SQL Database Agent, and Data Loader Tools Agent. Additionally, there are advanced machine learning agents like the H2O Machine Learning Agent and MLflow Tools Agent for managing models and production predictions. The project also includes exploratory data analysis (EDA) tools and apps that automate reporting, missing data analysis, and correlation analysis. The repository provides examples and documentation to help users get started, including usage examples for various agents. It also offers workshops for aspiring data scientists to learn how to build AI agents and applications tailored to business intelligence and forecasting needs. The project encourages contributions and provides contact information for companies interested in custom AI data science teams and domain-specific AI apps. Overall, this project is a comprehensive AI-driven toolkit designed to streamline and enhance the data science process, making it accessible and efficient for both individual practitioners and enterprises.
https://github.com/business-science/ai-data-science-team
RAGFlow is an open-source Retrieval-Augmented Generation engine that leverages deep document understanding and Large Language Models to provide accurate, citation-backed question-answering from complex and diverse data sources.
ScrapeGraphAI is an AI-powered Python library that creates intelligent web scraping pipelines using large language models to extract structured data from websites and local documents efficiently.
Pydantic is a Python library for fast and extensible data validation using Python type hints, enabling developers to define and validate data models efficiently.
Apache Doris is a high-performance, real-time analytical database with a storage-compute integrated architecture, designed for sub-second query response and high concurrency in diverse data analysis scenarios.
DocETL is a system for creating and executing complex document processing and data transformation pipelines powered by large language models, featuring an interactive UI playground and a Python package for production use.
Synthetic Data Generator (SDG) is a comprehensive framework for generating high-quality, privacy-compliant synthetic structured tabular data using advanced statistical and LLM-based models, optimized for big data applications.
VectorAdmin is a universal and user-friendly tool suite for managing multiple vector databases, providing full control over vector data with multi-user support, embedding management, and cloud deployment capabilities.
Scouter is an open source Application Performance Management (APM) tool that monitors and manages the performance of software applications and system resources across various platforms and services.