Why most Vector DBs will die – Pt.01

Vector databases (Vector DBs) have gained significant attention, especially in 2023, and are considered crucial for certain products despite some companies potentially being more feature-centric. The author shares their journey of building Klu, a platform using Supabase and pgvector, which has evolved from a few models and scripts to handling over 500,000 weekly requests with a custom vector engine. While acknowledging that their system isn't the fastest, the author emphasizes prioritizing quality data retrieval and user experience over mere speed, arguing that latency is less critical when compared to the latency of language models. The narrative underscores the importance of focusing on the speed of learning and building, rather than adhering strictly to conventional methods, highlighting the flexibility and support offered by Supabase in contrast to other platforms like Pinecone. In Part 02, the author plans to discuss internal benchmarks, noting that neither Supabase nor Pinecone is the fastest, hinting at potential alternatives like Chroma.

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