In this tutorial, we build a Discord app that takes text a user provides as input and automatically fill in what it thinks comes next. The backbone of the app is a Text Generation pipeline on VDP.

Build a Text Generation Discord app with VDP

VDP supports pipelines in ASYNC mode. This tutorial will demonstrate how to build an ASYNC pipeline using PostgreSQL database as the destination with the the same Object Detection model.

VDP 101 [7/7] Create, Trigger, and Parse an ASYNC Pipeline

VDP supports pipelines in different modes including SYNC, ASYNC and PULL to fulfil diverse application scenarios.

VDP 101 [6/7] Pipeline modes: SYNC, ASYNC, and PULL

In the SYNC mode, VDP returns triggering pipeline results immediately. In this tutorial, we will use the HTTP protocol to demonstrate how to parse the responses from VDP for analysis.

VDP 101 [5/7] How to parse responses from SYNC pipelines

In this tutorial, we are going to demonstrate how to trigger a SYNC pipeline step-by-step using an Objective Detection example.

VDP 101 [4/7] How to trigger a SYNC pipeline?

In this tutorial, we will build our first unstructured data pipeline with VDP, which allows you to process your data for a specific AI task with minimum effort.

VDP 101 [3/7] Create your first pipeline on VDP

We've made it easy to get started with VDP on your local machines and Kubernetes clusters. 

VDP 101 [2/7] Launch VDP on your local machine

Versatile Data Pipeline (VDP) is to streamline the end-to-end unstructured data pipeline with Artificial Intelligence (AI).

VDP 101 [1/7] Introduction to VDP

In this tutorial, we showcase how to build an Object Detection ETL pipeline using VDP and create a Cow Counter dashboard with Metabase to provide farm cattle insights.

Build a Cow Counter dashboard using VDP, Postgres and Metabase

VDP and Streamlit are a perfect match if you work with ML/Data and would like to build AI prototypes fast to share with your team, clients or the world.

EXPLORE INNOVATIVE USE CASES FOR UNSTRUCTURED DATA PIPELINE

AI task

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Use cases

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