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Course Outline

Foundations of:

  • vectors
  • AI vector embeddings
  • widely used AI embedding models
  • semantic search
  • distance metrics

Introduction to vector indexing methods:

  • IVFFlat index
  • HNSW index

The PgVector extension for PostgreSQL:

  • setup and installation
  • managing and querying high-dimensional vectors
  • application of distance metrics
  • leveraging vector indexes

 Learning Outcomes: Upon completion, students will have a comprehensive understanding of prominent AI-driven PostgreSQL extensions. They will also acquire hands-on experience in integrating large language models (LLMs) and vector search capabilities into practical applications.

 

Requirements

 A solid grasp of SQL fundamentals and basic proficiency in working with PostgreSQL

Lab environment: DaDesktops operating on Linux virtual machines (supplied by NobleProg)

Audience: Database application developers, system architects, and data analysts

 7 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 1300 € + VAT*

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