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// This file is autogenerated, DO NOT EDIT
// search/search-your-data/semantic-search-elser.asciidoc:260
[source, python]
----
resp = client.search(
index="my-index",
query={
"bool": {
"should": [
{
"sparse_vector": {
"field": "content_embedding",
"inference_id": "my-elser-endpoint",
"query": "How to avoid muscle soreness after running?",
"boost": 1
}
},
{
"query_string": {
"query": "toxins",
"boost": 4
}
}
]
}
},
min_score=10,
)
print(resp)
----
|
