Phil Nash

This talk introduces OpenRAG, an open-source stack designed to simplify the creation of powerful and customizable Retrieval-Augmented Generation (RAG) systems. It addresses the complexity often encountered in RAG pipelines, from document ingestion and chunking to embedding and search, by integrating existing open-source tools into a cohesive framework. OpenRAG aims to provide a robust baseline that developers can easily extend to meet specific project requirements.