Deploying generative AI within regulated organizations requires stringent data governance and sub-second latency. We explore practical strategies for chunking proprietary documentation, indexing semantic embeddings in vector spaces, and enforcing role-based access control at query time without data leakage to public third-party APIs.
Next-Gen Enterprise AI: Integrating LLMs with Private Vector Databases
