From Text to Meaning: pgvector Revolutionizes PostgreSQL Search
Presented by:
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Kiran Janarthan Singh
Solution Architect with over 7 years of experience crafting innovative, scalable database solutions. Specializing in PostgreSQL, I have designed robust architectures that optimize performance, ensure data integrity and drive business outcomes. With a deep understanding of relational database management systems and cloud-based infrastructures, I thrive on solving complex technical requirements into efficient solutions.
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Vivek Singh
Vivek Singh is a Principal Database Specialist with AWS focusing on Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL engines. He works with enterprise customers providing technical assistance on PostgreSQL operational performance and sharing database best practices. He has over 17 years of experience in open source database solutions, and enjoys working with customers to help design, deploy, and optimize relational database workloads on AWS.
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Dive into the cutting-edge world of semantic search with pgvector, the game-changing extension for PostgreSQL. This session explores how pgvector transforms traditional text-based queries into powerful, meaning-driven searches. Learn to harness vector embeddings to capture the essence of your data, enabling nuanced similarity comparisons and context-aware results. We'll demonstrate practical implementations, from basic setup to advanced techniques, showcasing real-world applications in recommendation systems, natural language processing, and content discovery. Join us to understand pgvector capabilities and revolutionize how you interact with textual data.
- Date:
- 2025 March 21 13:30 EDT
- Duration:
- 50 min
- Room:
- Space Coast 3
- Conference:
- Postgres Conference 2025
- Language:
- Track:
- Ops
- Difficulty:
- Medium