Open Source Summit Korea 2026

The team shipped semantic search. It worked. Then came 100M vectors, a RAM bill that tripled overnight, filtered queries silently returning zero results, and a proposal to "just add Pinecone alongside Postgres."

This talk is for engineers who've already built the thing and now need to scale it without burning the budget or the team. We'll do the RAM math that should happen before any architecture decision, walk through quantization strategies that deliver 32x compression with 95%+ recall, show why filtered search is the #1 silent production failure, and lay out when DiskANN, hybrid BM25+vector search, or a specialized vector DB actually makes sense — and when it doesn't.

Live demos included. Decision matrices to take back to the team on Monday. No hype, just trade-offs in plain English.