Fix ELSER document

kosabogi · kosabogi · commit 220197c43871 · 2025-03-14T09:05:03.000+01:00
diff --git a/docs/reference/search/search-your-data/semantic-search-elser.asciidoc b/docs/reference/search/search-your-data/semantic-search-elser.asciidoc
@@ -187,13 +187,14 @@ GET my-index/_search
    "query":{
       "sparse_vector":{
          "field": "content_embedding",
-         "inference_id": "my-elser-endpoint",
+         "inference_id": ".elser_model_2_linux-x86_64", <1> 
          "query": "How to avoid muscle soreness after running?"
       }
    }
 }
 ----
 // TEST[skip:TBD]
+<1> When performing a sparse vector search, use the `model_id`, not the `inference_id`.
 
 The result is the top 10 documents that are closest in meaning to your query text from the `my-index` index sorted by their relevancy.
 The result also contains the extracted tokens for each of the relevant search results with their weights.

Original file line number	Diff line number	Diff line change
`@@ -187,13 +187,14 @@ GET my-index/_search`
`187`	`187`	`"query":{`
`188`	`188`	`"sparse_vector":{`
`189`	`189`	`"field": "content_embedding",`
`190`		`- "inference_id": "my-elser-endpoint",`
	`190`	`+ "inference_id": ".elser_model_2_linux-x86_64", <1>`
`191`	`191`	`"query": "How to avoid muscle soreness after running?"`
`192`	`192`	`}`
`193`	`193`	`}`
`194`	`194`	`}`
`195`	`195`	`----`
`196`	`196`	`// TEST[skip:TBD]`
	`197`	+<1> When performing a sparse vector search, use the `model_id`, not the `inference_id`.
`197`	`198`
`198`	`199`	The result is the top 10 documents that are closest in meaning to your query text from the `my-index` index sorted by their relevancy.
`199`	`200`	`The result also contains the extracted tokens for each of the relevant search results with their weights.`