Open-source - Onegen

Microsoft GraphRAG: A Graph-Based Retrieval-Augmented Generation System

by user | Jun 12, 2026

Introduction Traditional Retrieval-Augmented Generation (RAG) systems often struggle with “global” questions that require a holistic understanding of a dataset. While standard vector search is excellent at finding specific needles in haystacks, it...

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...