AIP(AI Platform)란 무엇인가
Foundry에 내장된 생성형 AI 계층을 소개합니다.
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Start With These
New here? These four posts are the best place to start.
Start here
What Is Palantir Ontology? A Practitioner’s Explanation
New to Ontology? Start here
HubOntology Hub — See All Related Posts
Every Ontology post in one place
AIP“Why Not Just Bolt On a Chatbot API?”
Why AIP is built differently
ArchitecturePalantir Foundry Architecture Overview
The whole structure in one page
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Foundry·온톨로지·기업 AI를 이해하는 데 도움이 되는 실전 메모와 가이드입니다.
Latest Articles
Practical notes and guides to help you understand Foundry, Ontology, and enterprise AI.
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We Threw Everything in the Box, Then Couldn’t Find What We Needed — 6 Real-World Ontology Design Mistakes
A warehouse-organization take on Palantir’s official ontology design anti-patterns document. God Object, Kitchen Sink, Golden Hammer, and other real-world design mistakes explained with concrete examples.
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You Ran a Pivot Table and the Numbers Look Wrong — A Practical Guide to Foundry Contour
A practical guide to Palantir Foundry Contour’s board-based analysis structure, explained through a conveyor-belt analogy — how it really differs from Excel pivot tables, real user limitations, and official verification methods.
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Blueprint or Finished Building? Ontology vs. Knowledge Graph, Explained
An ontology is the blueprint; a knowledge graph is the building built from it. Here’s how Palantir’s ontology takes that one step further, and how RDB, knowledge graphs, and ontologies fit together as one continuum.
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Pipeline Builder: How Far to Push No-Code Before Switching to Code
Pipeline Builder’s real collaboration strengths and real limits (loops, dynamic schemas, nested data, external APIs) verified against official docs, the Palantir developer community forum, and real user reviews — a practical guide to where the line with code actually sits.
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Palantir Gave the FDE Role to an AI Too — The Complete Guide to AIP’s ‘AI FDE’
What Palantir’s AI FDE actually does, its nine development modes and how to use them in practice, community know-how, real problems users have hit, and a critical look at the FDE model it’s built on.
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AI’s Next Advantage Is the Meaning of Data
Moving beyond productivity gains to customer value — the semantic layer and Ontology What This Article Argues Organizations are already deploying AI to draft documents, search for information, write code, and handle customer inquiries faster. Real productivity gains from this are already being documented. But processing work faster doesn’t, by itself, create new value for […]
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SAP BW/SAC vs Palantir Foundry: A Data Architecture Comparison Guide
Comparing SAP BW/4HANA/SAC reporting architecture with Palantir Foundry’s Ontology architecture through a concept mapping table and an equipment-management example, and when to run both together.
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RDB Joins vs. Ontology Traversal: The Same Question, Two Data Approaches
How RDB joins and Palantir Ontology traversal answer the same business question differently, illustrated with a corporate card limit lookup.
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What Is Solution Designer? Designing Foundry Architecture as a Graph
What Palantir Foundry’s Solution Designer and AIP Architect are, why they were built, and how to design an architecture as a node-based diagram, based on official documentation.
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I Tracked a Churn-Risk Customer Without Writing a Line of Code — A Practical Guide to Palantir Insight
Palantir Foundry Insight’s core features (analysis path, link traversal, set operations, writeback) explained per official docs, compared with Object Explorer, Quiver, and Contour.