Security solutions for sensitive corporate documents
DeepSeek-RAG-Chatbot is designed with multiple layers of security for organizations that need to handle sensitive documents:
- Localized Deployment: all data processing is done locally, documents are not uploaded to the cloud
- Offline model runs: Deployed through a local model supported by Ollama, ensuring that the dialog process is not dependent on external networks
- data isolation: Virtual environments or Docker containers can effectively isolate application data
Suggested steps for enterprise implementation:
- Deployment of the entire system on an intranet server
- Set strict access control to allow only authorized IPs to access the Streamlit interface
- Periodically clean up document embeddings in the vector database
- Desensitize important documents for preprocessing
- Restricting external connections to the Ollama service in the firewall
For very high security needs, it can also be considered:
- Dedicated server with full disk encryption
- Disable automatic updates
- Audit system logs on a regular basis
This answer comes from the articleDeepSeek-RAG-Chatbot: a locally running DeepSeek RAG chatbotThe
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