Solution: Localized Deployment of AUM Builds Secure Document Search System
Enterprises are faced with the central paradox of needing AI technology to handle massive volumes of documents while at the same time ensuring that data is not compromised.AUM solves this problem by taking the following steps:
- Select Deployment Mode: Depending on the level of security requirements, you can choose internal server deployment (regular requirements), private cloud deployment (existing cloud facilities) or physical isolation deployment (highly sensitive scenarios such as military/financial).
- Documentation System Integration: Interfaces storage media such as file servers/shared folders with AUM and supports full-text indexing of common formats such as PDF/DOCX/PPTX.
- Privilege Configuration: Set up role-based access control to ensure that employees can only search for documents within their scope of authority.
- Conversational search: Employees can ask questions in natural language (e.g., "2023 Q2 Marketing Program Final") and the system returns the document content directly instead of a list of documents
Typical application scenario: When the legal team searches for historical contract terms and conditions, enter "the difference between the breach of contract liability terms and conditions of all technical service contracts in the past three years", and AUM will automatically compare and analyze the terms and conditions and generate comparison reports, and the whole process of the data is not out of the intranet.
This answer comes from the articleAUM: A private enterprise AI knowledge base client running locally offlineThe
