community[patch]: add delete() method to AzureSearch vector store (#21127)

**Issue:**
Currently `AzureSearch` vector store does not implement `delete` method.
This PR implements it. This also makes it compatible with LangChain
indexer.

**Dependencies:**
None

**Twitter handle:**
@martintriska1

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>

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`, `CouchbaseVectorStore`, `DashVector`, `DatabricksVectorSearch`, `DeepLake`, `Dingo`, `ElasticVectorSearch`, `ElasticsearchStore`, `FAISS`, `HanaDB`, `LanceDB`, `Milvus`, `MyScale`, `OpenSearchVectorSearch`, `PGVector`, `Pinecone`, `Qdrant`, `Redis`, `Rockset`, `ScaNN`, `SupabaseVectorStore`, `SurrealDBStore`, `TimescaleVector`, `UpstashVectorStore`, `Vald`, `VDMS`, `Vearch`, `VespaStore`, `Weaviate`, `ZepVectorStore`, `TencentVectorDB`, `OpenSearchVectorSearch`.\n",
+    "Compatible Vectorstores: `AnalyticDB`, `AstraDB`, `AzureCosmosDBVectorSearch`, `AzureSearch`, `AwaDB`, `Bagel`, `Cassandra`, `Chroma`, `CouchbaseVectorStore`, `DashVector`, `DatabricksVectorSearch`, `DeepLake`, `Dingo`, `ElasticVectorSearch`, `ElasticsearchStore`, `FAISS`, `HanaDB`, `LanceDB`, `Milvus`, `MyScale`, `OpenSearchVectorSearch`, `PGVector`, `Pinecone`, `Qdrant`, `Redis`, `Rockset`, `ScaNN`, `SupabaseVectorStore`, `SurrealDBStore`, `TimescaleVector`, `UpstashVectorStore`, `Vald`, `VDMS`, `Vearch`, `VespaStore`, `Weaviate`, `ZepVectorStore`, `TencentVectorDB`, `OpenSearchVectorSearch`.\n",
     "  \n",
     "## Caution\n",
     "\n",

libs/community/langchain_community/vectorstores/azuresearch.py

@@ -377,6 +377,22 @@ class AzureSearch(VectorStore):
         else:
             raise Exception(response)
 
+    def delete(self, ids: Optional[List[str]] = None, **kwargs: Any) -> bool:
+        """Delete by vector ID.
+
+        Args:
+            ids: List of ids to delete.
+
+        Returns:
+            bool: True if deletion is successful,
+            False otherwise.
+        """
+        if ids:
+            res = self.client.delete_documents([{"id": i} for i in ids])
+            return len(res) > 0
+        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

@@ -16,7 +16,7 @@ def test_compatible_vectorstore_documentation() -> None:
     case and 1) update docs in [1] and 2) update the `documented`
     dict in this test case.
 
-    [1] langchain/docs/docs_skeleton/docs/modules/data_connection/indexing.ipynb
+    [1] langchain/docs/docs/modules/data_connection/indexing.ipynb
     """
 
     # Check if a vectorstore is compatible with the indexing API
@@ -49,6 +49,7 @@ def test_compatible_vectorstore_documentation() -> None:
         "AnalyticDB",
         "AstraDB",
         "AzureCosmosDBVectorSearch",
+        "AzureSearch",
         "AwaDB",
         "Bagel",
         "BESVectorStore",