langchain[patch]: fix ElasticsearchStore reference for self query (#1…

…9907)

Initializing self query with an ElasticsearchStore from the partners
packages failed previously, see
#18976.

libs/langchain/langchain/retrievers/self_query/base.py

@@ -1,4 +1,5 @@
 """Retriever that generates and executes structured queries over its own data source."""
+
 import logging
 from typing import Any, Dict, List, Optional, Sequence, Tuple, Type, Union
 
@@ -8,7 +9,6 @@
     DashVector,
     DeepLake,
     Dingo,
-    ElasticsearchStore,
     Milvus,
     MongoDBAtlasVectorSearch,
     MyScale,
@@ -22,6 +22,9 @@
     Vectara,
     Weaviate,
 )
+from langchain_community.vectorstores import (
+    ElasticsearchStore as ElasticsearchStoreCommunity,
+)
 from langchain_core.documents import Document
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.pydantic_v1 import Field, root_validator
@@ -73,7 +76,7 @@ def _get_builtin_translator(vectorstore: VectorStore) -> Visitor:
         Qdrant: QdrantTranslator,
         MyScale: MyScaleTranslator,
         DeepLake: DeepLakeTranslator,
-        ElasticsearchStore: ElasticsearchTranslator,
+        ElasticsearchStoreCommunity: ElasticsearchTranslator,
         Milvus: MilvusTranslator,
         SupabaseVectorStore: SupabaseVectorTranslator,
         TimescaleVector: TimescaleVectorTranslator,
@@ -98,6 +101,14 @@ def _get_builtin_translator(vectorstore: VectorStore) -> Visitor:
         except ImportError:
             pass
 
+        try:
+            from langchain_elasticsearch.vectorstores import ElasticsearchStore
+
+            if isinstance(vectorstore, ElasticsearchStore):
+                return ElasticsearchTranslator()
+        except ImportError:
+            pass
+
         raise ValueError(
             f"Self query retriever with Vector Store type {vectorstore.__class__}"
             f" not supported."