The Stack Overflow Podcast Where does Postgres fit in a world of GenAI and vector databases?
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Aug 27, 2024 
Avthar, a key player at a startup developing an open-source PostgreSQL stack for AI applications, shares insights on the evolving role of Postgres in the database landscape. He delves into its comparison with vector databases, focusing on developer preferences and performance. Avthar also discusses advancements in vector indexing that enhance scalability and cost-effectiveness. Highlighting Postgres as a versatile solution, he emphasizes its vital role in modern data architectures, particularly in the integration with AI and data lakehouses.
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Avthar's Origin Story
- Avthar Soharathan's journey began in South Africa, driven by technology's potential for positive change.
- His path led him to the US, where he connected with Timescale's co-founder during his computer science studies at Princeton.
Postgres in the GenAI Landscape
- Developers face a choice between specialized vector databases and extending existing Postgres setups for AI.
- Performance, ease of use, and familiarity are key factors influencing this decision.
Bridging the Performance Gap
- Timescale utilizes a state-of-the-art vector search algorithm, adapting it for Postgres.
- This approach addresses performance gaps and incorporates the strengths of specialized vector databases.