Building with Palantir AIP: Data Tools for RAG/OAG

The podcast introduces AI-driven tools for enterprise data building with AIP, focusing on Retrieval Augmented Generation (RAG) and Ontology Augmented Generation (OAG). It addresses common concerns about data readiness, emphasizing that existing tools can clean and manage data effectively for AI applications. The discussion highlights "data as code," which uses Git-based principles for modern change management, and securing data access for Large Language Models (LLMs). A practical demonstration shows how to build an LLM-backed function to address a supply chain disruption, using a hypothetical fire at a distribution center as an example. The presenter explains how the AI tool navigates the business's ontology to identify affected customer orders and reallocate inventory from other warehouses, showcasing the potential for AI to empower human decision-making.