VOL.01 HUB VOL.02 PORTFOLIO
LIVE · BENGALURU EST. 2024
★ ALL EXPERIMENTS · ARCHIVE

THE ARCHIVE

Every experiment, in reverse chronological order.

1RgRAG0
2EmEmbed0
3RkRerank0
4EvEvals0
5ClCalibrate0
6BmBenchmark0
7MlMLOps0
8LtLatency0
9CsCost0
10ScScale0
11PrPrompts0
12SfSafety0
13DbDebug0
14NtNotes1
★ 1 experiment
✓
EXP #001✓ Achievement
Vector Spaces & Cosine Similarity: The Math Behind Dense Retrieval
Why two texts can mean the same thing without sharing a single word — and how a dot product turns that intuition into a retrieval engine.
2026-05-235 minrag-pipeline-build
Semantic similarity between texts can be captured as geometric proximity in high-dimensional space, making cosine similarity a principled and interpretable retrieval signal.