
Improving search with RAG architecture with Pinecone CEO Edo Liberty
No Priors: Artificial Intelligence | Technology | Startups
Embeddings, Personalization, and Data Leakage in Enterprise Applications
Embeddings and vector databases play a crucial role in personalization and privacy within enterprise applications. The risk of data leakage arises when an LLM is used over a large data corpus and refined for specific companies. This poses concerns, especially for HR companies, where confidential data like salaries could potentially leak across the model. Data leakage can occur if a service re-trains its models with a company's data without transparency to the company, leading to significant privacy issues.
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