What is OpenRAG?

This is a podcast episode titled, What is OpenRAG?. The summary for this episode is: <p>Explore Think 2026:&nbsp;https://www.ibm.biz/think2026event&nbsp;</p><p><br></p><p>This episode of&nbsp;Techsplainers&nbsp;introduces&nbsp;OpenRAG, IBM's open-source framework that connects large language models to enterprise data sources. We explore how&nbsp;OpenRAG&nbsp;builds bridges between powerful AI and organizational knowledge through Retrieval-Augmented Generation (RAG), enabling AI systems to ground their responses in actual company information rather than relying solely on training data. The discussion covers&nbsp;OpenRAG's&nbsp;flexible deployment options—from fully self-hosted architectures to hybrid cloud implementations—and highlights its modular design that allows organizations to customize components based on their specific needs. We examine real-world applications including enterprise knowledge assistants, customer support automation, regulatory compliance tools, research document analysis, data exploration interfaces, and collaborative knowledge systems. The episode concludes with practical guidance on getting started with&nbsp;OpenRAG, emphasizing its accessibility for both experimentation and enterprise-scale deployment.&nbsp;</p><p><br></p><p><strong>Find more information at&nbsp;</strong>https://www.ibm.com/think/topics/openrag&nbsp;</p><p><strong>Find more episodes at</strong>&nbsp;https://www.ibm.biz/techsplainers-podcast&nbsp;</p><p><br></p><p><strong>&nbsp;Narrated by Matt&nbsp;Finio&nbsp;</strong></p>