Diff of Good Ideas at b7937e1

@@ -99,2 +99,3 @@ Semantic search for:
 * Automate Lego with pick-and-place machine.
-* Improve AI-based search with methods other than making boring contrastive embedding models very slightly better.
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+* Improve AI-based search with methods other than making boring contrastive embedding models very slightly better.
+* Graph-based vector indices do beam search on a graph constructed so that beam search on dot product or PQ dot product "mostly" returns the closest (highest-dot-product) result. Do one of several RL/etc pathfinding schemes instead (like https://arxiv.org/abs/2502.18663)? We only have a budget of 100μs per read node, though, so this is a bit tricky.
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