Intro to Foundry's Applications

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Curated by: Ontologize (73 videos)

Currently Playing: Deploying a Live Machine Learning Model in Foundry

In this video, Gena demonstrates how to wrap a live Machine Learning model in a Function and deploy it in Workshop. *About Ontologize* We build teams of Palantir experts. Ontologize is a team of former Palantir engineers who are passionate about teaching. We are an official Palantir Partner focused on helping Palantir's customers and partners scale their Foundry & AIP deployments. Get in touch if your team wants to deploy use cases faster and scale Foundry across your organization: https://ontologize.com/contact. #aip #foundry #palantir 00:00 Deploying a Live Machine Learning Model in Foundry 01:35 Prerequisites 02:19 Starting the Deployment 02:38 Wrapping the Model in a Function 03:36 Creating a New Object Type 06:18 Using your Model in Workshop

Tracks in this Playlist

Parsing PDFs in Foundry with AIP Document Intelligence
Saving and Loading Scenarios
Build a 2026 World Cup Simulator in Palantir Foundry with Scenarios
Building your First What If Scenario in Foundry
Batch Model Inference in Foundry with Pipeline Builder
SQL Studio in Foundry: Query Datasets and Save Results
Conditionals in AIP Logic: If/Else Branching for Deterministic Decisions
How to Add Long-Term Memory to Foundry AIP Agents (Embedding + Retrieval )
Adding Custom Documentation to Foundry AIP Agents
Add Visualizations to Your Palantir AIP Agent (Commands + Vega)
Build a Drag and Drop Calendar App in Workshop
Creating a Kanban Board in Workshop
Using Actions in your OSKD App
Vibe Coding Your First OSDK App
Vibe Coding a Custom Workshop Widget
Experiments in AIP Logic
Extracting a Table from a PDF Using an LLM
Speedrun: Your First End to End Workflow (update)
Plotting Moving Reindeer on a Map: An Ontologize Holiday Special
Parsing a User Input into Multiple Objects using AIP
Creating and Using Image Embeddings in Pipeline Builder
Using an AIP Logic Function in a Notepad Template
Building a Document Search App in Workshop
Using the AIP Generated Content Widget in Workshop
Tool Use in AIP Logic: Actions
Halloween Edition: RAG (Retrieval Augmented Ghouling)
Semantic Search in AIP Logic
Improving Object Queries AIP Logic Using Ontology Metadata
Tool Use in AIP Logic: Object Queries
Building a Dynamic Knowledge Corpus with On The Fly Embedding Computation
Adding Application Context to an AIP Agent
Introduction to AIP Agents
Building your First AIP Agent (OLD)
Parsing a User-Uploaded PDF in Foundry
Creating an AIP Agent in Foundry with a Memory
Building a Choropleth Map in Foundry
Plotting Railroads on a Map in Foundry
Parsing JSON in Foundry using Pipeline Builder
Applying Actions in AIP Logic: Tool Use versus Action Blocks
Building a Visual Semantic Search
Using Looping in AIP Logic for Ontology Edits
Using Looping for Transformations in AIP Logic
Tool Use in AIP Agents: Object Queries
Extracting a Table from an Image in Pipeline Builder
Tool Use in AIP Agents: Actions
Extracting a Table from a PDF Using Pipeline Builder
Introduction to Evaluations in AIP Logic
Publishing a Machine Learning Model from Code Workspaces
Deploying a Live Machine Learning Model in Foundry
Using Media Set Inputs in AIP Logic
Introduction to AIP Agents
End-to-End RAG Workflow Using Pipeline Builder and AIP Logic
Image Classification in Pipeline Builder
Introduction to Machine Learning Operations
Building a RAG workflow with AIP Logic
Interacting with HuggingFace Using Webhooks
Creating and using a Quiver Dashboard Template
Conditional Formatting in the Ontology
Intro to Charts in Workshop
Quiver Visual Functions
From Excel Worksheets to Scheduled Reporting
Intro to Object Explorer
Intro to Code Workbooks
Intro to Notepad
Intro to Code Workspaces
Intro to Data Lineage
Intro to Code Repositories for Python Transforms
How to use Contour's SQL Expressions Board
Data Connection in 10min
Intro to Foundry Pipeline Builder
Palantir Foundry: Contour 101
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