Update table bolding (#699)

Co-authored-by: mjang <michael.jang@qdrant.com>
This commit is contained in:
Mike Jang
2024-03-09 08:05:08 +05:30
committed by GitHub
co-authored by mjang
parent b2d5ebc320
commit c765f6866e
@@ -93,14 +93,13 @@ You can use Mistral Embedding Models with [Binary Quantization](/articles/binary
At an oversampling of 3 and a limit of 100, we've a 95% recall against the exact nearest neighbors with rescore enabled.
| oversampling | | 1 | 1 | 2 | 2 | 3 | 3 |
| Oversampling | | 1 | 1 | 2 | 2 | 3 | 3 |
|--------------|---------|----------|----------|----------|----------|----------|--------------|
| limit | | | | | | | |
| | rescore | False | True | False | True | False | True |
| | **Rescore** | False | True | False | True | False | True |
| **Limit** | | | | | | | |
| 10 | | 0.53444 | 0.857778 | 0.534444 | 0.918889 | 0.533333 | 0.941111 |
| 20 | | 0.508333 | 0.837778 | 0.508333 | 0.903889 | 0.508333 | 0.927778 |
| 50 | | 0.492222 | 0.834444 | 0.492222 | 0.903556 | 0.492889 | 0.940889 |
| 100 | | 0.499111 | 0.845444 | 0.498556 | 0.918333 | 0.497667 | **0.944556** |
That's it! You can now use Mistral Embedding Models with Qdrant!
That's it! You can now use Mistral Embedding Models with Qdrant!