fix semantic search docs search request (#5179)
Signed-off-by: Joshua Li <joshuali925@gmail.com>
This commit is contained in:
parent
6f196dec3c
commit
682ed30b2e
|
@ -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/).
|
||||
|
|
Loading…
Reference in New Issue