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fix semantic search docs search request #5179

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Oct 10, 2023
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4 changes: 2 additions & 2 deletions _ml-commons-plugin/semantic-search.md
Original file line number Diff line number Diff line change
Expand Up @@ -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 %}

Expand Down Expand Up @@ -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/).
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