Presented by:
Rajeev Thottathil is a Principal Database Specialist Solutions Architect with Amazon Web Services. Rajeev has over 30 years of experience working with mission-critical databases and currently helps customers migrate and implement distributed, internet-scale databases on AWS.
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Raj Jayakrishnan
Raj Jayakrishnan is a Senior Database Specialist Solutions Architect with Amazon Web Services helping customers reinvent their business through the use of purpose-built database cloud solutions. Over 20 years of experience in architecting commercial & open-source database solutions in financial and logistics industry.
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In recent years, vector search has emerged as a key tool for handling high-dimensional data, enabling applications like recommendation systems, semantic search, and AI-driven insights. pgvector is an extension for PostgreSQL that brings powerful vector search capabilities directly into the database, allowing you to store and query vector data alongside your traditional relational data.
This session will provide an introduction to pgvector for those new to the concept and the tool. We’ll start by exploring what vectors are and why they are critical for modern machine learning and AI tasks. Then, we’ll dive into the fundamentals of pgvector, covering how to install and configure it, as well as how to store, index, and efficiently query vectors within PostgreSQL.
- Date:
- 2025 March 20 10:30 EDT
- Duration:
- 50 min
- Room:
- Gold Coast 3&4
- Conference:
- Postgres Conference 2025
- Language:
- Track:
- Essentials
- Difficulty:
- Medium