diff --git a/libs/elasticsearch/langchain_elasticsearch/retrievers.py b/libs/elasticsearch/langchain_elasticsearch/retrievers.py
index 1e58e7c..a5a12f5 100644
--- a/libs/elasticsearch/langchain_elasticsearch/retrievers.py
+++ b/libs/elasticsearch/langchain_elasticsearch/retrievers.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Any, Callable, Dict, List, Optional
+from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Union, cast
 
 from elasticsearch import Elasticsearch
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
@@ -19,20 +19,21 @@ class ElasticsearchRetriever(BaseRetriever):
     Args:
         es_client: Elasticsearch client connection. Alternatively you can use the
             `from_es_params` method with parameters to initialize the client.
-        index_name: The name of the index to query.
+        index_name: The name of the index to query. Can also be a list of names.
         body_func: Function to create an Elasticsearch DSL query body from a search
             string. The returned query body must fit what you would normally send in a
             POST request the the _search endpoint. If applicable, it also includes
             parameters the `size` parameter etc.
-        content_field: The document field name that contains the page content.
+        content_field: The document field name that contains the page content. If
+            multiple indices are queried, specify a dict {index_name: field_name} here.
         document_mapper: Function to map Elasticsearch hits to LangChain Documents.
     """
 
     es_client: Elasticsearch
-    index_name: str
+    index_name: Union[str, Sequence[str]]
     body_func: Callable[[str], Dict]
-    content_field: Optional[str] = None
-    document_mapper: Optional[Callable[[Dict], Document]] = None
+    content_field: Optional[Union[str, Mapping[str, str]]] = None
+    document_mapper: Optional[Callable[[Mapping], Document]] = None
 
     def __init__(self, **kwargs: Any) -> None:
         super().__init__(**kwargs)
@@ -45,15 +46,24 @@ def __init__(self, **kwargs: Any) -> None:
                 "Please provide only one."
             )
 
-        self.document_mapper = self.document_mapper or self._field_mapper
+        if not self.document_mapper:
+            if isinstance(self.content_field, str):
+                self.document_mapper = self._single_field_mapper
+            elif isinstance(self.content_field, Mapping):
+                self.document_mapper = self._multi_field_mapper
+            else:
+                raise ValueError(
+                    "unknown type for content_field, expected string or dict."
+                )
+
         self.es_client = with_user_agent_header(self.es_client, "langchain-py-r")
 
     @staticmethod
     def from_es_params(
-        index_name: str,
+        index_name: Union[str, Sequence[str]],
         body_func: Callable[[str], Dict],
-        content_field: Optional[str] = None,
-        document_mapper: Optional[Callable[[Dict], Document]] = None,
+        content_field: Optional[Union[str, Mapping[str, str]]] = None,
+        document_mapper: Optional[Callable[[Mapping], Document]] = None,
         url: Optional[str] = None,
         cloud_id: Optional[str] = None,
         api_key: Optional[str] = None,
@@ -93,6 +103,12 @@ def _get_relevant_documents(
         results = self.es_client.search(index=self.index_name, body=body)
         return [self.document_mapper(hit) for hit in results["hits"]["hits"]]
 
-    def _field_mapper(self, hit: Dict[str, Any]) -> Document:
+    def _single_field_mapper(self, hit: Mapping[str, Any]) -> Document:
         content = hit["_source"].pop(self.content_field)
         return Document(page_content=content, metadata=hit)
+
+    def _multi_field_mapper(self, hit: Mapping[str, Any]) -> Document:
+        self.content_field = cast(Mapping, self.content_field)
+        field = self.content_field[hit["_index"]]
+        content = hit["_source"].pop(field)
+        return Document(page_content=content, metadata=hit)
diff --git a/libs/elasticsearch/tests/integration_tests/test_retrievers.py b/libs/elasticsearch/tests/integration_tests/test_retrievers.py
index 59c0244..5dd3121 100644
--- a/libs/elasticsearch/tests/integration_tests/test_retrievers.py
+++ b/libs/elasticsearch/tests/integration_tests/test_retrievers.py
@@ -128,6 +128,46 @@ def body_func(query: str) -> Dict:
             assert text_field not in r.metadata["_source"]
             assert "another_field" in r.metadata["_source"]
 
+    def test_multiple_index_and_content_fields(
+        self, es_client: Elasticsearch, index_name: str
+    ) -> None:
+        """Test multiple content fields"""
+        index_name_1 = f"{index_name}_1"
+        index_name_2 = f"{index_name}_2"
+        text_field_1 = "text_1"
+        text_field_2 = "text_2"
+
+        def body_func(query: str) -> Dict:
+            return {
+                "query": {
+                    "multi_match": {
+                        "query": query,
+                        "fields": [text_field_1, text_field_2],
+                    }
+                }
+            }
+
+        retriever = ElasticsearchRetriever(
+            index_name=[index_name_1, index_name_2],
+            content_field={index_name_1: text_field_1, index_name_2: text_field_2},
+            body_func=body_func,
+            es_client=es_client,
+        )
+
+        index_test_data(es_client, index_name_1, text_field_1)
+        index_test_data(es_client, index_name_2, text_field_2)
+        result = retriever.get_relevant_documents("foo")
+
+        # matches from both indices
+        assert sorted([(r.page_content, r.metadata["_index"]) for r in result]) == [
+            ("foo", index_name_1),
+            ("foo", index_name_2),
+            ("foo bar", index_name_1),
+            ("foo bar", index_name_2),
+            ("foo baz", index_name_1),
+            ("foo baz", index_name_2),
+        ]
+
     def test_custom_mapper(self, es_client: Elasticsearch, index_name: str) -> None:
         """Test custom document maper"""