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by hot_gril
1094 days ago
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#2. Databases like Postgres are central to backend applications, but for AI the real action is happening on those tensor frameworks. Honestly I can't see pgvector becoming a mainstream way of running inference. I used pg cube for that on one project a while ago. Yeah it worked, but even ignoring the performance issues, the only reason we considered it was because of our weird use case. We were also doing other funky stuff like large sparse matrix math using just float8 cols, with parallelism (by splitting one query into ~32). |
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