RAG for Real World Generative AI Applications
-In the first part of our exploration into privacy-enabled retrieval-augmented generation (RAG) for enterprise generative AI, we delved into what RAG is, how it works, and its many benefits. We also addressed the crucial issue of data privacy and how confidential computing…
Enhancing Privacy with Inpher XOR for Data Enrichment
-In today’s data-driven landscape, organizations across various sectors confront the challenge of leveraging data effectively while safeguarding individual privacy. Traditional data enrichment methods often involve sharing sensitive information with external parties, posing risks to data security and privacy compliance. Inpher XOR introduces…
Inpher XOR DataFrame API – Filtering out Unwanted Complexity
-In this third post we pick one particular operation, filter, and look under the hood to see how the XOR DataFrame API allows the analyst to write efficient data workflow without having to worry about the data stacking, locality, and visibility. Filtering…
