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On Premise AI: Solving the Cloud Dependency Problem for Enterprise Knowledge Database
Problem of turning internal documents into AI‑answerable knowledge:
- Requires sending files to cloud APIs, which conflicts with security policies, NDAs, and regulations
- Token‑based pricing makes costs unpredictable and hard to budget
For organizations holding confidential information, the files that most need AI help are exactly those that mustn’t leave the premises.
Cloud models don’t understand internal terminology and depend on stable connectivity and APIs, while typical RAG knowledge bases force document resends for every query and generate answers without clear citations, driving up cost and latency and making verification difficult.
By deploying an on‑premise AI system to structure historical technical cases, engineers can query in natural language and receive similar cases, summaries, and source references without data leaving the company.
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