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// This file is autogenerated, DO NOT EDIT
// search/search-your-data/semantic-text-hybrid-search:119
[source, python]
----
resp = client.search(
index="semantic-embeddings",
retriever={
"rrf": {
"retrievers": [
{
"standard": {
"query": {
"match": {
"content": "How to avoid muscle soreness while running?"
}
}
}
},
{
"standard": {
"query": {
"semantic": {
"field": "semantic_text",
"query": "How to avoid muscle soreness while running?"
}
}
}
}
]
}
},
highlight={
"fields": {
"semantic_text": {
"number_of_fragments": 2
}
}
},
)
print(resp)
----
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