overview
Overview
PrivateGPT enables users to interact with their documents using local large language models (LLMs), ensuring that no data is transmitted outside of the user's environment. This tool supports private and offline querying of documents, making it suitable for applications requiring strict data privacy.
It is designed for Retrieval Augmented Generation (RAG) workflows, allowing users to chat with their documents without cloud dependencies. PrivateGPT requires local computing resources and technical setup for operation.