Fix Neural Sparse formatting issue (opensearch-project#10015)

Fixes opensearch-project#9978

Signed-off-by: Naarcha-AWS <[email protected]>

Author: Naarcha-AWS

_vector-search/ai-search/neural-sparse-with-pipelines.md

@@ -69,6 +69,7 @@ The following tables provide a search relevance comparison for all available com
 | Bi-encoder| `amazon/neural-sparse/opensearch-neural-sparse-encoding-v2-distill`     | `amazon/neural-sparse/opensearch-neural-sparse-encoding-v2-distill`     | 0.528                        | 67M             |
 
 **For Multilingual:**
+
 | Mode      | Ingestion model                                               | Search model                                                  | Avg search relevance on MIRACL | Model parameters |
 |-----------|---------------------------------------------------------------|---------------------------------------------------------------|------------------------------|------------------|
 | Doc-only  | `amazon/neural-sparse/opensearch-neural-sparse-encoding-multilingual-v1` | `amazon/neural-sparse/opensearch-neural-sparse-tokenizer-multilingual-v1`    | 0.629                         | 168M             |
@@ -525,4 +526,4 @@ To mitigate throttling exceptions, decrease the maximum number of connections sp
 
 ## Next steps
 
-- Explore our [tutorials]({{site.url}}{{site.baseurl}}/vector-search/tutorials/) to learn how to build AI search applications. 
+- Explore our [tutorials]({{site.url}}{{site.baseurl}}/vector-search/tutorials/) to learn how to build AI search applications.