Understanding PathRAG and the Future of the Retrieval Augmented Generation Engine Retrieval Augmented Generative Engine (RAGE) has enhanced how we interact with large language models (LLMs). Instead of relying solely on the knowledge baked into the model during training, RAG systems can pull in relevant information from external sources, making them more accurate, up-to-date, and trustworthy. But traditional RAG, often relying on vector databases, has limitations. A new approach, leveraging knowledge graphs, is rapidly evolving, and […]

A new mindX generation (mindx-gen15) passed the imprint gate and was promoted to a servable model.

Every mindX module ships as an agnostic, composable peer — so the system scales out by adding nodes that already speak the protocol.