fix semantic search docs search request (#5179)

Signed-off-by: Joshua Li <[email protected]>

_ml-commons-plugin/semantic-search.md

@@ -598,7 +598,7 @@ PUT /my-nlp-index/_doc/5
 When the documents are ingested into the index, the `text_embedding` processor creates an additional field that contains vector embeddings and adds that field to the document. To see an example document that is indexed, search for document 1:
 
 ```json
-GET /my-nlp-index/_search/1
+GET /my-nlp-index/_doc/1
 ```
 {% include copy-curl.html %}
 
@@ -1022,4 +1022,4 @@ DELETE /_plugins/_ml/model_groups/Z1eQf4oB5Vm0Tdw8EIP2
 ## Further reading
 
 - Read about the basics of OpenSearch semantic search in [Building a semantic search engine in OpenSearch](https://opensearch.org/blog/semantic-search-solutions/).
-- Read about the benefits of combining keyword and neural search, the normalization and combination technique options, and benchmarking tests in [The ABCs of semantic search in OpenSearch: Architectures, benchmarks, and combination strategies](https://opensearch.org/blog/semantic-science-benchmarks/).
+- Read about the benefits of combining keyword and neural search, the normalization and combination technique options, and benchmarking tests in [The ABCs of semantic search in OpenSearch: Architectures, benchmarks, and combination strategies](https://opensearch.org/blog/semantic-science-benchmarks/).