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Getting started with the SAP HANA Cloud Vector Engine

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Getting started with the SAP HANA Cloud Vector Engine

Overview

In this live session, we will explore the HANA vector engine and its capabilities. The session will cover the fundamentals of vector storage, retrieval, and similarity searches using the REAL_VECTOR data type. You will learn how to create and manage vector tables, perform efficient similarity searches, and integrate these functionalities into AI and machine learning workflows. Practical examples will demonstrate how you can effectively use the HANA vector engine in real-world scenarios.

Learning objectives

After participating in this live session, you will:

  • Understand the key functionalities and benefits of the SAP HANA Cloud Vector Engine
  • Understand the concept behind HANA Cloud's Vector Engine and how it can be used to enhance Intelligent Data Applications
  • Understand vector data types and how they are stored in HANA
  • Have an overview of embeddings and how they are used in similarity searches and natural language processing
  • Have insights into a practical use case with an example of a RAG scenario using a Large Language Model

Your current experience in this topic

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Intermediate

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Roles

Data Scientist, Data Analyst, Consultant, Administrator

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