Ontologize

20:25

Tool Use in AIP Logic: Actions

12:52

Halloween Edition: RAG (Retrieval Augmented Ghouling)

13:29

Semantic Search in AIP Logic

5:43

Improving Object Queries AIP Logic Using Ontology Metadata

11:22

Tool Use in AIP Logic: Object Queries

23:55

Building a Dynamic Knowledge Corpus with On The Fly Embedding Computation

8:33

Adding Application Context to an AIP Agent

39:46

Deep Dive: Data Analysis in Quiver

18:18

Introduction to AIP Agents

22:57

Preparing PDFs for RAG Workflows

1:07:40

Deep Dive: Building Your First Application

49:36

Speedrun: Data Science Fundamentals

43:33

Deep Dive: Transforming your Data with Code Repositories

37:00

Deep Dive: Creating Your First Ontology

37:22

Deep Dive: Building Your First Pipeline

42:18

Speedrun: Your First AIP Workflow

31:38

Deep Dive: Creating Your First Data Connection

45:09

Speedrun: Your First End-to-End Workflow

41:33

Deep Dive: Data Analysis in Contour

34:44

Speedrun: Mining Your First Business Process

45:44

Speedrun: Your First Agentic AIP Workflow

16:29

Parsing a User-Uploaded PDF in Foundry

23:20

Creating an AIP Agent in Foundry with a Memory

10:39

Building a Choropleth Map in Foundry

13:15

Plotting Railroads on a Map in Foundry

7:03

Parsing JSON in Foundry using Pipeline Builder

18:18

Applying Actions in AIP Logic: Tool Use versus Action Blocks

10:10

Entity Extraction in Pipeline Builder

16:49

Building a Visual Semantic Search

15:44

Using Looping in AIP Logic for Ontology Edits

8:24

Using Looping for Transformations in AIP Logic

20:39

Tool Use in AIP Agents: Object Queries

14:06

Extracting a Table from an Image in Pipeline Builder

13:30

Tool Use in AIP Agents: Actions

18:43

Extracting a Table from a PDF Using Pipeline Builder

15:25

Introduction to Evaluations in AIP Logic

13:47

Publishing a Machine Learning Model from Code Workspaces

17:50

Deploying a Live Machine Learning Model in Foundry

15:14

Using Media Set Inputs in AIP Logic

24:57

Deep Dive: Data Protection Tools in Foundry

24:44

Speedrun: Mining Your First Business Process

24:48

Speedrun: Your First Ontology Function

13:50

Introduction to AIP Agents

26:45

End-to-End RAG Workflow Using Pipeline Builder and AIP Logic

10:12

Build with Us: Sending your Contour Dashboard on a Schedule

7:52

Image Classification in Pipeline Builder

30:42

Deep Dive: Data Analysis in Quiver

34:02

Introduction to Machine Learning Operations

1:02:11

Build with Me: Advanced Dashboarding & Reporting in Contour

24:19

Building a RAG workflow with AIP Logic

13:22

Interacting with HuggingFace Using Webhooks

22:05

Creating and using a Quiver Dashboard Template

14:27

Conditional Formatting in the Ontology

14:20

Intro to Charts in Workshop

48:47

Conditional Visibility in Workshop

1:40:36

Applied Notional Project

10:46

Quiver Visual Functions

20:25

From Excel Worksheets to Scheduled Reporting

15:19

Intro to Object Explorer

38:27

Build with Us | Speedrun: Creating Your First Data Connection

50:13

Build with Us | Deep Dive: Speedrun Your FIrst AIP Workflow

24:06

Build with Us | Deep Dive: Your first Ontology

1:12:27

Build with Us | Deep Dive: Building your first application

26:31

Build with Us | Deep Dive: Data Analysis in Contour

35:34

Build with Us: Speedrun Your First End-to-End Workflow

9:14

Intro to Code Workbooks

7:03

Intro to Notepad

6:56

Intro to Code Workspaces

51:43

Build with Us | Deep Dive: Building Your First Pipeline

8:10

Intro to Data Lineage

4:28

Navigating in Foundry

10:08

Intro to Code Repositories for Python Transforms

8:36

Virtual Tables in Foundry

11:48

How to use Contour's SQL Expressions Board

7:55

Using Saved Object Sets in Workshop

24:09

Securing PII Data in Palantir Foundry

9:23

Data Connection in 10min

41:47

Intro to Foundry Pipeline Builder

41:24

Palantir Foundry: Contour 101

11:58

Object Sets 101