PostgreSQL AI for Developers Training Course
The course covers the fundamentals of PostgreSQL server extensions and libraries used to integrate AI techniques into database systems, including: similarity/semantic search based on embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Students will learn how to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, develop Text-to-SQL applications using LangChain with Python/JavaScript. Demonstrations and hands-on practice reinforce the core concepts and practical skills.
This course is available as onsite live training in USA or online live training.Course Outline
Introduction to:
- vectors
- AI vector embeddings
- popular AI embedding models
- semantic search
- distance measures
Overview of vector indexing techniques:
- IVFFlat index
- HNSW index
PgVector extension for PostgreSQL:
- installation
- storing and querying high-dimensional vectors
- distance measures
- using vector indexes
PgAI extension for PostgreSQL:
- installation
- generating embeddings
- implementing Retrieval-Augmented Generation
- advanced development patterns
Overview of Text-to-SQL solutions: LangChain framework
Course outcome: By the end of the course, students will be able to:
- design and build elements of AI-powered database applications using PostgreSQL extensions and libraries.
- gain practical experience with techniques for integrating large language models (LLMs) and vector search into real-world systems, enabling them to develop applications such as semantic search engines, AI assistants, and natural-language database interfaces.
Requirements
basic knowledge of SQL, basic experience with PostgreSQL, basic knowledge of Python or JavaScript programming languages
Audience: database developers, system architects
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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Testimonials (1)
Logging behaviour when the instance is under stress, and the hierarchy/nomenclature of instances, databases, files, etc.
Daniel Inwood - Sinara Consultants LTD
Course - PostgreSQL Advanced DBA
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