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fix semantic search docs search request (#5179) (#5180)
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(cherry picked from commit 682ed30)

Signed-off-by: Joshua Li <[email protected]>
Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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4 changes: 2 additions & 2 deletions _ml-commons-plugin/semantic-search.md
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Expand Up @@ -597,7 +597,7 @@ 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 %}

Expand Down Expand Up @@ -1021,4 +1021,4 @@ 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/).

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