diff --git a/libs/community/langchain_community/vectorstores/opensearch_vector_search.py b/libs/community/langchain_community/vectorstores/opensearch_vector_search.py
index da5d38db6dc..f1329659eec 100644
--- a/libs/community/langchain_community/vectorstores/opensearch_vector_search.py
+++ b/libs/community/langchain_community/vectorstores/opensearch_vector_search.py
@@ -16,7 +16,7 @@ IMPORT_OPENSEARCH_PY_ERROR = (
     "Could not import OpenSearch. Please install it with `pip install opensearch-py`."
 )
 IMPORT_ASYNC_OPENSEARCH_PY_ERROR = """
-Could not import AsyncOpenSearch. 
+Could not import AsyncOpenSearch.
 Please install it with `pip install opensearch-py`."""
 
 SCRIPT_SCORING_SEARCH = "script_scoring"
@@ -902,6 +902,7 @@ class OpenSearchVectorSearch(VectorStore):
                         if metadata_field == "*" or metadata_field not in hit["_source"]
                         else hit["_source"][metadata_field]
                     ),
+                    id=hit["_id"],
                 ),
                 hit["_score"],
             )
@@ -1099,6 +1100,7 @@ class OpenSearchVectorSearch(VectorStore):
             Document(
                 page_content=results[i]["_source"][text_field],
                 metadata=results[i]["_source"][metadata_field],
+                id=results[i]["_id"],
             )
             for i in mmr_selected
         ]
diff --git a/libs/community/tests/integration_tests/vectorstores/test_opensearch.py b/libs/community/tests/integration_tests/vectorstores/test_opensearch.py
index 37dae734605..22bff520073 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_opensearch.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_opensearch.py
@@ -15,15 +15,19 @@ from tests.integration_tests.vectorstores.fake_embeddings import (
 
 DEFAULT_OPENSEARCH_URL = "http://localhost:9200"
 texts = ["foo", "bar", "baz"]
+ids = ["id_foo", "id_bar", "id_baz"]
 
 
 def test_opensearch() -> None:
     """Test end to end indexing and search using Approximate Search."""
     docsearch = OpenSearchVectorSearch.from_texts(
-        texts, FakeEmbeddings(), opensearch_url=DEFAULT_OPENSEARCH_URL
+        texts,
+        FakeEmbeddings(),
+        opensearch_url=DEFAULT_OPENSEARCH_URL,
+        ids=ids,
     )
     output = docsearch.similarity_search("foo", k=1)
-    assert output == [Document(page_content="foo")]
+    assert output == [Document(page_content="foo", id="id_foo")]
 
 
 def test_similarity_search_with_score() -> None:
@@ -34,11 +38,12 @@ def test_similarity_search_with_score() -> None:
         FakeEmbeddings(),
         metadatas=metadatas,
         opensearch_url=DEFAULT_OPENSEARCH_URL,
+        ids=ids,
     )
     output = docsearch.similarity_search_with_score("foo", k=2)
     assert output == [
-        (Document(page_content="foo", metadata={"page": 0}), 1.0),
-        (Document(page_content="bar", metadata={"page": 1}), 0.5),
+        (Document(page_content="foo", metadata={"page": 0}, id="id_foo"), 1.0),
+        (Document(page_content="bar", metadata={"page": 1}, id="id_bar"), 0.5),
     ]
 
 
@@ -50,20 +55,24 @@ def test_opensearch_with_custom_field_name() -> None:
         opensearch_url=DEFAULT_OPENSEARCH_URL,
         vector_field="my_vector",
         text_field="custom_text",
+        ids=ids,
     )
     output = docsearch.similarity_search(
         "foo", k=1, vector_field="my_vector", text_field="custom_text"
     )
-    assert output == [Document(page_content="foo")]
+    assert output == [Document(page_content="foo", id="id_foo")]
 
     text_input = ["test", "add", "text", "method"]
     OpenSearchVectorSearch.add_texts(
-        docsearch, text_input, vector_field="my_vector", text_field="custom_text"
+        docsearch,
+        text_input,
+        vector_field="my_vector",
+        text_field="custom_text",
     )
     output = docsearch.similarity_search(
         "add", k=1, vector_field="my_vector", text_field="custom_text"
     )
-    assert output == [Document(page_content="foo")]
+    assert output == [Document(page_content="foo", id="id_foo")]
 
 
 def test_opensearch_with_metadatas() -> None:
@@ -74,9 +83,22 @@ def test_opensearch_with_metadatas() -> None:
         FakeEmbeddings(),
         metadatas=metadatas,
         opensearch_url=DEFAULT_OPENSEARCH_URL,
+        ids=ids,
     )
     output = docsearch.similarity_search("foo", k=1)
-    assert output == [Document(page_content="foo", metadata={"page": 0})]
+    assert output == [Document(page_content="foo", metadata={"page": 0}, id="id_foo")]
+
+
+def test_max_marginal_relevance_search() -> None:
+    """Test end to end indexing and mmr search."""
+    docsearch = OpenSearchVectorSearch.from_texts(
+        texts,
+        FakeEmbeddings(),
+        opensearch_url=DEFAULT_OPENSEARCH_URL,
+        ids=ids,
+    )
+    output = docsearch.max_marginal_relevance_search("foo", k=1)
+    assert output == [Document(page_content="foo", id="id_foo")]
 
 
 def test_add_text() -> None:
@@ -86,8 +108,8 @@ def test_add_text() -> None:
     docsearch = OpenSearchVectorSearch.from_texts(
         texts, FakeEmbeddings(), opensearch_url=DEFAULT_OPENSEARCH_URL
     )
-    docids = OpenSearchVectorSearch.add_texts(docsearch, text_input, metadatas)
-    assert len(docids) == len(text_input)
+    doc_ids = OpenSearchVectorSearch.add_texts(docsearch, text_input, metadatas)
+    assert len(doc_ids) == len(text_input)
 
 
 def test_add_embeddings() -> None:
@@ -112,7 +134,8 @@ def test_add_embeddings() -> None:
     )
     docsearch.add_embeddings(list(zip(text_input, embedding_vectors)), metadatas)
     output = docsearch.similarity_search("foo1", k=1)
-    assert output == [Document(page_content="foo3", metadata={"page": 2})]
+    assert output[0].page_content == "foo3"
+    assert output[0].metadata == {"page": 2}
 
 
 def test_opensearch_script_scoring() -> None:
@@ -127,7 +150,8 @@ def test_opensearch_script_scoring() -> None:
     output = docsearch.similarity_search(
         "foo", k=1, search_type=SCRIPT_SCORING_SEARCH, pre_filter=pre_filter_val
     )
-    assert output == [Document(page_content="bar")]
+    assert output[0].page_content == "bar"
+    assert output[0].id is not None
 
 
 def test_add_text_script_scoring() -> None:
@@ -144,7 +168,8 @@ def test_add_text_script_scoring() -> None:
     output = docsearch.similarity_search(
         "add", k=1, search_type=SCRIPT_SCORING_SEARCH, space_type="innerproduct"
     )
-    assert output == [Document(page_content="test")]
+    assert output[0].page_content == "test"
+    assert output[0].id is not None
 
 
 def test_opensearch_painless_scripting() -> None:
@@ -159,7 +184,8 @@ def test_opensearch_painless_scripting() -> None:
     output = docsearch.similarity_search(
         "foo", k=1, search_type=PAINLESS_SCRIPTING_SEARCH, pre_filter=pre_filter_val
     )
-    assert output == [Document(page_content="baz")]
+    assert output[0].page_content == "baz"
+    assert output[0].id is not None
 
 
 def test_add_text_painless_scripting() -> None:
@@ -176,7 +202,8 @@ def test_add_text_painless_scripting() -> None:
     output = docsearch.similarity_search(
         "add", k=1, search_type=PAINLESS_SCRIPTING_SEARCH, space_type="cosineSimilarity"
     )
-    assert output == [Document(page_content="test")]
+    assert output[0].page_content == "test"
+    assert output[0].id is not None
 
 
 def test_opensearch_invalid_search_type() -> None:
@@ -207,7 +234,8 @@ def test_appx_search_with_boolean_filter() -> None:
     output = docsearch.similarity_search(
         "foo", k=3, boolean_filter=boolean_filter_val, subquery_clause="should"
     )
-    assert output == [Document(page_content="bar")]
+    assert output[0].page_content == "bar"
+    assert output[0].id is not None
 
 
 def test_appx_search_with_lucene_filter() -> None:
@@ -217,7 +245,8 @@ def test_appx_search_with_lucene_filter() -> None:
         texts, FakeEmbeddings(), opensearch_url=DEFAULT_OPENSEARCH_URL, engine="lucene"
     )
     output = docsearch.similarity_search("foo", k=3, lucene_filter=lucene_filter_val)
-    assert output == [Document(page_content="bar")]
+    assert output[0].page_content == "bar"
+    assert output[0].id is not None
 
 
 def test_opensearch_with_custom_field_name_appx_true() -> None:
@@ -230,7 +259,8 @@ def test_opensearch_with_custom_field_name_appx_true() -> None:
         is_appx_search=True,
     )
     output = docsearch.similarity_search("add", k=1)
-    assert output == [Document(page_content="add")]
+    assert output[0].page_content == "add"
+    assert output[0].id is not None
 
 
 def test_opensearch_with_custom_field_name_appx_false() -> None:
@@ -240,7 +270,8 @@ def test_opensearch_with_custom_field_name_appx_false() -> None:
         text_input, FakeEmbeddings(), opensearch_url=DEFAULT_OPENSEARCH_URL
     )
     output = docsearch.similarity_search("add", k=1)
-    assert output == [Document(page_content="add")]
+    assert output[0].page_content == "add"
+    assert output[0].id is not None
 
 
 def test_opensearch_serverless_with_scripting_search_indexing_throws_error() -> None:
@@ -338,4 +369,5 @@ def test_appx_search_with_faiss_efficient_filter() -> None:
     output = docsearch.similarity_search(
         "foo", k=3, efficient_filter=efficient_filter_val
     )
-    assert output == [Document(page_content="bar")]
+    assert output[0].page_content == "bar"
+    assert output[0].id is not None