feat(pinot): add benchmark results

Small dataset (OpenAI 50K, 768D, L2):
- HNSW:       798 QPS, recall=1.000
- IVF_FLAT:   800 QPS, recall=1.000
- IVF_PQ:     795 QPS, recall=1.000
- IVF_ON_DISK: 691 QPS, recall=1.000

Large dataset (Cohere 1M, 768D, COSINE):
- HNSW m=16:   74 QPS, recall=0.982

Filter benchmark (Cohere 1M, COSINE, HNSW m=32):
- 1% NumGE filter:  71 QPS, recall=0.977
- 99% NumGE filter: 97 QPS, recall=0.649

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: xiangfu0

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