fixed table formatting

Author: HeidiSteen

articles/search/vector-search-how-to-quantization.md

@@ -49,13 +49,13 @@ Two types of quantization are supported:
 
 Rescoring is a technique used to offset information loss due to vector compression. It uses oversampling to pick up extra vectors, and supplemental information to rescore initial results found by the query. Supplemental information is either uncompressed original full-precision vectors - or for binary quantization only - you have the option of rescoring using the binary quantized document candidates against the query vector. Rescoring options are specified in the index, but you can invoke rescoring at query time if the index supports it.
 
-New rescoring options for binary quantization is a preview feature. API versions determine which rescoring behavior is operational for your code. 
+API versions determine which rescoring behavior is operational for your code. The most recent preview API supports a new rescoring approach for binary quantization. Indexes created with `2025-03-01-preview` can use the new rescoring behaviors.
 
-| API version | Quantization type | Query parameters |
+| API version | Quantization type | Rescoring properties |
 |-------------|-------------------|------------------|
 | [2024-07-01](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-07-01&preserve-view=true) | Scalar and binary quantization, on vector indexes built using Hierarchical Navigable Small World (HNSW) graphs for similarity search | `rerankWithOriginalVectors` |
 | [2024-11-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true) | Scalar and binary quantization on HNSW graphs | `rescoringOptions.enableRescoring` and `rescoreStorageMethod.preserveOriginals` |
-| [2025-03-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2025-03-01-preview&preserve-view=true) | Binary quantization on HNSW graphs | Previous parameter combinations are still supported but binary quantization can now be rescored if original embeddings are deleted | `rescoringOptions.enableRescoring` and `rescoringOptions.rescoreStorageMethod=discardOriginals` |
+| [2025-03-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2025-03-01-preview&preserve-view=true) | Binary quantization on HNSW graphs | Previous parameter combinations are still supported but binary quantization can now be rescored if original embeddings are deleted: `rescoringOptions.enableRescoring` and `rescoringOptions.rescoreStorageMethod=discardOriginals` |
 
 Only HNSW graphs allow rescoring. Exhaustive K Nearest Neighbors (eKNN) doesn't support rescoring.