| Rank | Configuration | Overall Score | Answer Relevancy | Faithfulness | Answer Similarity | Context Recall |
|---|---|---|---|---|---|---|
| 1 |
trial_2_c500_k5_t1.0
k=5, t=1.0
|
0.272 | 0.500 | 0.000 | 0.488 | 0.000 |
| 2 |
trial_1_c500_k5_t0.3
k=5, t=0.3
|
0.266 | 0.500 | 0.000 | 0.464 | 0.000 |
| 3 |
trial_4_c500_k10_t1.0
k=10, t=1.0
|
0.262 | 0.500 | 0.000 | 0.449 | 0.000 |
| 4 |
trial_3_c500_k3_t1.0
k=3, t=1.0
|
0.259 | 0.500 | 0.000 | 0.436 | 0.000 |
| 5 |
trial_5_c500_k5_t0.7
k=5, t=0.7
|
0.258 | 0.500 | 0.000 | 0.432 | 0.000 |
Use the winning configuration in your production RAG system for optimal performance.
Track real-world accuracy and response quality metrics after deployment.
Run optimization again when your document base grows significantly or user query patterns change.