local-rag
Local RAG provides an offline, open-source framework for retrieval augmented generation with large language models. It supports local files, GitHub repos, and websites without relying on third-party services or exposing sensitive data. Features include offline embeddings, streaming responses, conversational memory, and chat export to ensure a private and customizable deployment. Explore setup resources, usage guidelines, and future updates to enhance your deployment strategy.