The core technical advantage of this project is the complete localized execution link, from document processing to model inference, which is done at the user's terminal. The DeepSeek R1 model deployed using the Ollama framework supports completely offline operation, avoiding the risk of data leakage caused by cloud services. System dependencies are isolated by Docker containers, and all temporary data is automatically cleared after processing, which is in line with GDPR and other data compliance requirements.
Security tests have shown that the system can stably process sensitive documents (e.g. legal contracts/medical records) up to 200 pages on workstations with 16GB of RAM. Enterprise users can choose the 1.5B lightweight model to run on a secure laptop, or use the 32B parameterized version to deploy on a server cluster. The project code has passed third-party security audits and no known vulnerabilities have been found, making it particularly suitable for industries with strict data regulation, such as finance and healthcare.
This answer comes from the articleDeepSeek-RAG-Chatbot: a locally running DeepSeek RAG chatbotThe
