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
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.
Price per private group, online live training, starting from 1300 € + VAT*
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Testimonials (2)
Tuning strategies.
Jeffrey Zieg - Matrix Consulting
Course - PostgreSQL Performance Tuning
Logging behaviour when the instance is under stress, and the hierarchy/nomenclature of instances, databases, files, etc.