Projects - Onegen

Cognita: Open-Source RAG Framework for Production AI Applications

by user | Jun 3, 2026

Introduction Developing a Retrieval-Augmented Generation (RAG) system often begins with a simple Jupyter notebook using standard libraries, but moving that logic into a scalable, production-grade environment presents significant engineering challenges. Many developers...

llmware: Unified RAG Framework for Enterprise AI Development

by user | Jun 3, 2026

IntroductionModern enterprises face a significant hurdle when moving from generic AI chat interfaces to specialized, data-driven applications. The complexity of managing retrieval-augmented generation (RAG) pipelines, ensuring data privacy, and orchestrating...

FlashRAG: Efficient Retrieval-Augmented Generation for AI Researchers

by user | Jun 3, 2026

Introduction As Retrieval-Augmented Generation (RAG) becomes the standard architecture for deploying Large Language Models (LLMs) in production, the need for efficient, modular, and reproducible pipelines has never been greater. FlashRAG, developed by the RUC-NLPIR...

Morphik Core: Type-Safe AI Application Development for TypeScript Teams

by user | Jun 3, 2026

Introduction The rapid evolution of Large Language Models (LLMs) has created a significant challenge for modern software engineering teams: the lack of standardized, type-safe infrastructure. As developers move beyond simple API calls to complex, multi-step AI...

RAGFlow Guide: Deep Document Understanding for RAG Engines

by user | Jun 3, 2026

IntroductionThe biggest challenge in building production-grade Retrieval-Augmented Generation (RAG) systems isn’t the Large Language Model (LLM) itself, but the quality of the data being retrieved. Most open-source RAG tools struggle when faced with complex...