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Oct 10, 2024
RAG
RAG-as-a-Service – Internal Knowledge AI
Problem
Employees waste hours each week digging through SharePoint folders, outdated Notion pages, or internal PDFs to find critical information. Knowledge is scattered, undocumented, or siloed across teams. As a result, onboarding takes longer, customer-facing teams are slower to respond, and internal experts are constantly interrupted. Traditional search functions fail to capture context or understand intent.
Solution
NovaMind deploys a private RAG engine connected to your internal documentation. It indexes PDFs, SOPs, wiki content, and internal DBs and allows employees to ask questions naturally (e.g., “What’s the return policy for item X in France?”). The system provides reliable answers with full traceability and security compliance.
Impact
– 70% time saved on internal information retrieval
– 40% faster onboarding for new hires
– Fewer support escalations and knowledge interruptions
Problem
Employees waste hours each week digging through SharePoint folders, outdated Notion pages, or internal PDFs to find critical information. Knowledge is scattered, undocumented, or siloed across teams. As a result, onboarding takes longer, customer-facing teams are slower to respond, and internal experts are constantly interrupted. Traditional search functions fail to capture context or understand intent.
Solution
NovaMind deploys a private RAG engine connected to your internal documentation. It indexes PDFs, SOPs, wiki content, and internal DBs and allows employees to ask questions naturally (e.g., “What’s the return policy for item X in France?”). The system provides reliable answers with full traceability and security compliance.
Impact
– 70% time saved on internal information retrieval
– 40% faster onboarding for new hires
– Fewer support escalations and knowledge interruptions