Building a Local RAG System for Privacy Preservation with Ollama and Weaviate

The article describes a practical implementation of a Retrieval-Augmented Generation (RAG) pipeline. It focuses on local execution using open-source tools (Ollama and Weaviate) and Docker, emphasizing privacy. The content suggests a technical, hands-on approach, likely targeting developers interested in building their own AI systems with data privacy in mind. The use of Python indicates a focus on programming and software development.