Dabarqus is a Retrieval-Augmented Generation (RAG) framework that allows users to provide private data to large language models (LLMs) in real time. This tool facilitates the storage of various data sources (such as PDFs, emails, and raw data) into semantic indices, referred to as 'memory repositories,' through REST APIs, SDKs, and CLI tools. Dabarqus supports LLM-style prompts, enabling users to interact with memory repositories in a straightforward manner without needing to construct special queries or learn a new query language. Additionally, it allows for the creation and utilization of multiple semantic indices (memory repositories), organizing data by topics, categories, or other grouping methods. The product background of Dabarqus emphasizes its aim to simplify the integration of private data with AI language models, enhancing the efficiency and accuracy of data retrieval.