community[patch]: Opensearch delete method added - indexing supported (#18522)

- **Description:** Added delete method for OpenSearchVectorSearch,
therefore indexing supported
    - **Issue:** No
    - **Dependencies:** No
    - **Twitter handle:** stkbmf

docs/docs/modules/data_connection/indexing.ipynb

@@ -60,7 +60,7 @@
     "   * document addition by id (`add_documents` method with `ids` argument)\n",
     "   * delete by id (`delete` method with `ids` argument)\n",
     "\n",
-    "Compatible Vectorstores: `AnalyticDB`, `AstraDB`, `AwaDB`, `Bagel`, `Cassandra`, `Chroma`, `DashVector`, `DatabricksVectorSearch`, `DeepLake`, `Dingo`, `ElasticVectorSearch`, `ElasticsearchStore`, `FAISS`, `HanaDB`, `Milvus`, `MyScale`, `PGVector`, `Pinecone`, `Qdrant`, `Redis`, `Rockset`, `ScaNN`, `SupabaseVectorStore`, `SurrealDBStore`, `TimescaleVector`, `Vald`, `Vearch`, `VespaStore`, `Weaviate`, `ZepVectorStore`.\n",
+    "Compatible Vectorstores: `AnalyticDB`, `AstraDB`, `AwaDB`, `Bagel`, `Cassandra`, `Chroma`, `DashVector`, `DatabricksVectorSearch`, `DeepLake`, `Dingo`, `ElasticVectorSearch`, `ElasticsearchStore`, `FAISS`, `HanaDB`, `Milvus`, `MyScale`, `OpenSearchVectorSearch`, `PGVector`, `Pinecone`, `Qdrant`, `Redis`, `Rockset`, `ScaNN`, `SupabaseVectorStore`, `SurrealDBStore`, `TimescaleVector`, `Vald`, `Vearch`, `VespaStore`, `Weaviate`, `ZepVectorStore`.\n",
     "  \n",
     "## Caution\n",
     "\n",

libs/community/langchain_community/vectorstores/opensearch_vector_search.py

@@ -454,6 +454,38 @@ class OpenSearchVectorSearch(VectorStore):
             **kwargs,
         )
 
+    def delete(
+        self,
+        ids: Optional[List[str]] = None,
+        refresh_indices: Optional[bool] = True,
+        **kwargs: Any,
+    ) -> Optional[bool]:
+        """Delete documents from the Opensearch index.
+
+        Args:
+            ids: List of ids of documents to delete.
+            refresh_indices: Whether to refresh the index
+                            after deleting documents. Defaults to True.
+        """
+        bulk = _import_bulk()
+
+        body = []
+
+        if ids is None:
+            raise ValueError("ids must be provided.")
+
+        for _id in ids:
+            body.append({"_op_type": "delete", "_index": self.index_name, "_id": _id})
+
+        if len(body) > 0:
+            try:
+                bulk(self.client, body, refresh=refresh_indices, ignore_status=404)
+                return True
+            except Exception as e:
+                raise e
+        else:
+            return False
+
     def similarity_search(
         self, query: str, k: int = 4, **kwargs: Any
     ) -> List[Document]:

libs/community/tests/unit_tests/vectorstores/test_indexing_docs.py

@@ -64,6 +64,7 @@ def test_compatible_vectorstore_documentation() -> None:
         "Milvus",
         "MomentoVectorIndex",
         "MyScale",
+        "OpenSearchVectorSearch",
         "PGVector",
         "Pinecone",
         "Qdrant",