langchain-core[patch]: Incremental record manager deletion should be batched (#31206)

**Description:** Before this commit, if one record is batched in more
than 32k rows for sqlite3 >= 3.32 or more than 999 rows for sqlite3 <
3.31, the `record_manager.delete_keys()` will fail, as we are creating a
query with too many variables.

This commit ensures that we are batching the delete operation leveraging
the `cleanup_batch_size` as it is already done for `full` cleanup.

Added unit tests for incremental mode as well on different deleting
batch size.

libs/core/tests/unit_tests/indexing/test_indexing.py

@@ -1882,7 +1882,7 @@ async def test_adeduplication(
     }
 
 
-def test_cleanup_with_different_batchsize(
+def test_full_cleanup_with_different_batchsize(
     record_manager: InMemoryRecordManager, vector_store: VectorStore
 ) -> None:
     """Check that we can clean up with different batch size."""
@@ -1919,7 +1919,56 @@ def test_cleanup_with_different_batchsize(
     }
 
 
-async def test_async_cleanup_with_different_batchsize(
+def test_incremental_cleanup_with_different_batchsize(
+    record_manager: InMemoryRecordManager, vector_store: VectorStore
+) -> None:
+    """Check that we can clean up with different batch size."""
+
+    docs = [
+        Document(
+            page_content="This is a test document.",
+            metadata={"source": str(d)},
+        )
+        for d in range(1000)
+    ]
+
+    assert index(
+        docs,
+        record_manager,
+        vector_store,
+        source_id_key="source",
+        cleanup="incremental",
+    ) == {
+        "num_added": 1000,
+        "num_deleted": 0,
+        "num_skipped": 0,
+        "num_updated": 0,
+    }
+
+    docs = [
+        Document(
+            page_content="Different doc",
+            metadata={"source": str(d)},
+        )
+        for d in range(1001)
+    ]
+
+    assert index(
+        docs,
+        record_manager,
+        vector_store,
+        source_id_key="source",
+        cleanup="incremental",
+        cleanup_batch_size=17,
+    ) == {
+        "num_added": 1001,
+        "num_deleted": 1000,
+        "num_skipped": 0,
+        "num_updated": 0,
+    }
+
+
+async def test_afull_cleanup_with_different_batchsize(
     arecord_manager: InMemoryRecordManager, vector_store: InMemoryVectorStore
 ) -> None:
     """Check that we can clean up with different batch size."""
@@ -1956,6 +2005,54 @@ async def test_async_cleanup_with_different_batchsize(
     }
 
 
+async def test_aincremental_cleanup_with_different_batchsize(
+    arecord_manager: InMemoryRecordManager, vector_store: InMemoryVectorStore
+) -> None:
+    """Check that we can clean up with different batch size."""
+    docs = [
+        Document(
+            page_content="This is a test document.",
+            metadata={"source": str(d)},
+        )
+        for d in range(1000)
+    ]
+
+    assert await aindex(
+        docs,
+        arecord_manager,
+        vector_store,
+        source_id_key="source",
+        cleanup="incremental",
+    ) == {
+        "num_added": 1000,
+        "num_deleted": 0,
+        "num_skipped": 0,
+        "num_updated": 0,
+    }
+
+    docs = [
+        Document(
+            page_content="Different doc",
+            metadata={"source": str(d)},
+        )
+        for d in range(1001)
+    ]
+
+    assert await aindex(
+        docs,
+        arecord_manager,
+        vector_store,
+        cleanup="incremental",
+        source_id_key="source",
+        cleanup_batch_size=17,
+    ) == {
+        "num_added": 1001,
+        "num_deleted": 1000,
+        "num_skipped": 0,
+        "num_updated": 0,
+    }
+
+
 def test_deduplication_v2(
     record_manager: InMemoryRecordManager, vector_store: VectorStore
 ) -> None: