fix semantic search docs search request (#5179)

Signed-off-by: Joshua Li <joshuali925@gmail.com>
This commit is contained in:
Joshua Li 2023-10-10 11:12:47 -07:00 committed by GitHub
parent 6f196dec3c
commit 682ed30b2e
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 2 deletions

View File

@ -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/).