Eye On A.I.
#219 Avthar Sewrathan: How to Build Smarter AI Applications with PostgreSQL
Nov 18, 2024
Avthar Sewrathan, Lead Technical Product Marketing Manager at Timescale, discusses how PostgreSQL is revolutionizing AI development. He explains Timescale’s journey from IoT beginnings to creating tools that simplify AI applications. The conversation highlights innovations like PGVector and PGAI Vectorizer for managing vector data. Avthar also explores the seamless integration of large language models in databases and PostgreSQL's ability to handle both structured and unstructured data, marking it as the go-to solution for diverse AI use cases.
51:09
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Quick takeaways
- Postgres has evolved over 30 years to provide a robust and extensible platform, enabling seamless integration of AI-focused tools and applications.
- Timescale's commitment to open-source innovation allows developers to efficiently manage vector data and build AI systems without complex database configurations.
Deep dives
Reliability and Extensibility of Postgres
Postgres has gained popularity and success due to its reliability and robustness, having evolved over 30 years to address various system problems effectively. A defining characteristic of Postgres is its extensibility, which allows independent developers and companies to create extensions that integrate seamlessly with the main database functionalities. This flexibility enables users to perform diverse tasks beyond standard transactional workloads, including handling geospatial data and time series analytics. The success of Postgres as a tech choice is reflected in surveys where it consistently ranks as the most loved and used database among developers.
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