Rowfill employs multiple safeguards for data privacy protection:
- Native LLM Support: Allow users to deploy Llama, Mistral and other open source big models in the local environment to ensure that sensitive data does not go out of the local network
- Flexible deployment optionsSupporting both private deployment and cloud services (Alpha version), users can choose according to their security needs.
- Enterprise Data Synchronization Function: Built-in security mechanisms ensure encrypted data transfer and stored processes within the company
- open source transparency: AGPLv3 license guarantees that all code is auditable and that users can validate the entire process of data processing.
Especially for financial, medical and other industries with high data privacy requirements, Rowfill supports a completely offline data processing mode, where all OCR and NLP analysis is completed on user-controlled devices, truly realizing the security of data "without going out".
This answer comes from the articleRowfill: Batch Extraction of Structured Information from Documents and Automated AnalysisThe
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